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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. 8-RES-JB
    11. 12598
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    Explanations

    phrases indicating a conclusion or analysis based on specific information or data

    oai_token-act-pair · gpt-3.5-turbo

    phrases that use the word "based" to reference evaluations or conclusions drawn from certain criteria or data

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ese
    -0.76
     Leilan
    -0.69
    zz
    -0.68
    alty
    -0.67
    nel
    -0.67
    asar
    -0.66
    osen
    -0.65
    ESE
    -0.64
    shr
    -0.64
    oho
    -0.63
    POSITIVE LOGITS
     upon
    0.91
     loosely
    0.80
     solely
    0.80
    uate
    0.73
    uates
    0.71
    merce
    0.67
    atively
    0.66
     purely
    0.66
    plates
    0.65
     diligence
    0.64
    Activations Density 0.041%

    No Known Activations