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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. 24436
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    Explanations

    names of individuals or entities

    oai_token-act-pair · gpt-3.5-turbo

    proper nouns or names of individuals and entities

    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
    cffff
    -0.75
    EStreamFrame
    -0.67
    chest
    -0.60
    uyomi
    -0.58
    tumblr
    -0.58
    tnc
    -0.57
    insula
    -0.57
    cffffcc
    -0.57
    qqa
    -0.56
    ategory
    -0.56
    POSITIVE LOGITS
     forgot
    0.66
     hadn
    0.64
     lacks
    0.62
     did
    0.62
     succeeds
    0.62
     Sand
    0.60
     could
    0.58
     persists
    0.57
    's
    0.57
     wasn
    0.57
    Activations Density 0.700%

    No Known Activations