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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 15768
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    Explanations

    phrases related to observations or statements about specific things

    oai_token-act-pair · gpt-3.5-turbo

    phrases emphasizing the importance or significance of a "thing" or concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    geon
    -0.76
    fort
    -0.75
    rift
    -0.74
    raph
    -0.74
    MAP
    -0.73
    renheit
    -0.73
    =-=-
    -0.71
    NAS
    -0.66
    rn
    -0.65
    msg
    -0.64
    POSITIVE LOGITS
     happ
    0.81
     happen
    0.81
     happening
    0.80
     cov
    0.73
     happened
    0.68
     fry
    0.65
     separates
    0.64
     happens
    0.63
     det
    0.62
     missing
    0.62
    Activations Density 0.133%

    No Known Activations