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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. 2625
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    INDEX
    Explanations

    phrases related to exerting effort or taking action

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pull" and its variations

    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
    chance
    -0.76
    mble
    -0.72
    mint
    -0.70
    ibel
    -0.69
     ILCS
    -0.69
    merce
    -0.68
    zech
    -0.67
    cius
    -0.67
    igmatic
    -0.66
    acre
    -0.66
    POSITIVE LOGITS
     levers
    1.13
     strings
    1.08
     punches
    1.06
     apart
    1.01
     together
    0.97
     out
    0.92
     off
    0.90
     weeds
    0.90
    strings
    0.90
     stunts
    0.89
    Activations Density 0.029%

    No Known Activations