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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. 18430
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    Explanations

    words related to the impact or effect of various situations or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases that discuss the effects or impacts of various factors

    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
     diligent
    -0.68
     drafts
    -0.67
    edient
    -0.61
     surveys
    -0.60
    NC
    -0.58
    Rush
    -0.57
    bee
    -0.56
    abee
    -0.56
     suicides
    -0.56
     segregation
    -0.56
    POSITIVE LOGITS
    ãĥķãĤ©
    0.72
    iator
    0.69
    reon
    0.67
     whatsoever
    0.67
    asm
    0.66
    Ú
    0.64
     Become
    0.63
     incentive
    0.63
     distingu
    0.63
    icum
    0.63
    Activations Density 0.264%

    No Known Activations