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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. 9-RES-JB
    11. 23580
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    Explanations

    proper nouns and names of individuals

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals in influential positions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Ö¼
    -0.59
     mileage
    -0.57
    !:
    -0.54
    xxxxxxxx
    -0.53
    ="#
    -0.53
    ','
    -0.53
    iology
    -0.51
     autos
    -0.50
     GF
    -0.50
     LOC
    -0.50
    POSITIVE LOGITS
     respectively
    1.33
     were
    1.16
     are
    1.14
    were
    1.06
     converge
    0.99
     jointly
    0.93
     weren
    0.93
     teamed
    0.91
     constitute
    0.90
     have
    0.89
    Activations Density 0.631%

    No Known Activations