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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. 20409
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    Explanations

    phrases describing hypothetical or symbolic scenarios

    oai_token-act-pair · gpt-3.5-turbo

    statements or phrases that convey hypothetical or conditional scenarios

    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
    "><
    -0.70
    "]=>
    -0.69
    idates
    -0.68
    adra
    -0.66
     Airl
    -0.61
    vere
    -0.59
    byn
    -0.58
    izabeth
    -0.57
     couples
    -0.56
     quickest
    -0.55
    POSITIVE LOGITS
    paste
    0.71
     invincible
    0.69
    Ãł
    0.68
     pi
    0.66
     existed
    0.65
    ti
    0.65
    Ãĥ
    0.63
    rael
    0.61
    paren
    0.61
     SECTION
    0.61
    Activations Density 0.152%

    No Known Activations