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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. 11-RES-JB
    11. 6049
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    INDEX
    Explanations

    phrases indicating collaboration and planning activities

    oai_token-act-pair · gpt-3.5-turbo

    recurrent phrases indicating actions and possibilities

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ãĤ´ãĥ³
    -0.92
    ò
    -0.77
    ñ
    -0.75
    PDATE
    -0.70
     Alas
    -0.69
    ø
    -0.69
     awaits
    -0.69
    é¾įå¥
    -0.69
    û
    -0.69
    ù
    -0.69
    POSITIVE LOGITS
     kind
    1.12
     [
    1.06
     sort
    1.05
     go
    1.05
     say
    1.03
     really
    1.03
     get
    1.01
     somebody
    0.99
     wanna
    0.98
     uh
    0.98
    Activations Density 0.412%

    No Known Activations