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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. 4-RES-JB
    11. 9623
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    Explanations

    keywords related to abstract concepts or attributes that can be described as traits

    oai_token-act-pair · gpt-3.5-turbo

    references to traits and characteristics, particularly in a psychological or behavioral context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 4-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.4.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.4.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    4
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ©¶æ
    -0.75
     Lank
    -0.72
    NAS
    -0.72
     Coffin
    -0.72
     GEAR
    -0.65
    ITED
    -0.64
    noon
    -0.64
    aii
    -0.63
     Chic
    -0.62
     Dos
    -0.62
    POSITIVE LOGITS
     traits
    1.11
     trait
    1.06
    ively
    0.85
     predis
    0.82
     behaviours
    0.80
    hered
    0.79
    ivating
    0.79
    istically
    0.78
    ifact
    0.74
    rait
    0.73
    Activations Density 0.016%

    No Known Activations