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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 2-RES-JB
    11. 949
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    Explanations

    detailed descriptions or discussions about specific traits or characteristics, especially in technical or academic contexts

    oai_token-act-pair · gpt-3.5-turbo

    the word "trait"

    oai_token-act-pair · gpt-4-turbo

    references to personality traits and their implications

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Copenhagen
    -0.73
    ©¶æ
    -0.72
     Wonderland
    -0.69
     Lank
    -0.69
     Coffin
    -0.69
    cision
    -0.68
    aii
    -0.68
     GEAR
    -0.67
    NAS
    -0.65
    ñ
    -0.65
    POSITIVE LOGITS
     traits
    1.16
     trait
    1.16
    rait
    0.92
    eatures
    0.91
    ively
    0.84
     behaviours
    0.83
     predis
    0.79
     guiActiveUn
    0.78
    ilial
    0.77
    hered
    0.77
    Activations Density 0.011%

    No Known Activations