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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. 3-RES-JB
    11. 20218
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    Explanations

    names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns related to individuals and locations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aque
    -0.86
    ERAL
    -0.81
    liness
    -0.76
    arily
    -0.75
    odore
    -0.71
     Skydragon
    -0.70
    Reply
    -0.66
    igators
    -0.65
     Inqu
    -0.64
    asure
    -0.64
    POSITIVE LOGITS
     Daniels
    0.95
     mustard
    0.83
    lein
    0.79
    SourceFile
    0.78
    beer
    0.76
    ense
    0.75
    Beer
    0.74
    warm
    0.71
     rye
    0.69
    pour
    0.68
    Activations Density 0.012%

    No Known Activations