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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. 19830
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    Explanations

    adjectives describing various qualities, such as intensity, size, or importance

    oai_token-act-pair · gpt-3.5-turbo

    phrases or words associated with intensity or magnitude

    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
     �
    -0.82
     ãĢĮ
    -0.78
     Cheong
    -0.74
     Berks
    -0.65
     ende
    -0.65
     Kro
    -0.65
     Shepard
    -0.64
     Pry
    -0.63
    ription
    -0.60
     Trace
    -0.59
    POSITIVE LOGITS
    ",
    1.35
    "
    1.35
    "!
    1.26
    ")
    1.25
    "—
    1.22
    ";
    1.22
    "?
    1.19
    %"
    1.18
    ".
    1.18
    ").
    1.17
    Activations Density 0.231%

    No Known Activations