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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. 6-RES-JB
    11. 17885
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    Explanations

    phrases related to actions or situations such as administration or projects

    oai_token-act-pair · gpt-3.5-turbo

    negations and references to significant quantities or degrees

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     �
    -0.83
     ãĢĮ
    -0.75
     Dres
    -0.72
     Berks
    -0.66
     Phelps
    -0.66
     Goff
    -0.65
     Frey
    -0.64
    schild
    -0.64
     Pry
    -0.63
    ription
    -0.62
    POSITIVE LOGITS
    "
    1.40
    ",
    1.29
    "!
    1.27
    "âĢ¦
    1.25
    "?
    1.24
    usterity
    1.24
    ";
    1.23
    "—
    1.23
    %"
    1.23
    ".
    1.21
    Activations Density 0.227%

    No Known Activations