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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. 4034
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    Explanations

    instances of phrases where an action is directed towards a specific recipient

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "the."

    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
     followed
    -0.69
     compared
    -0.69
    .–
    -0.66
     namely
    -0.63
     SetFontSize
    -0.61
     Takes
    -0.60
     strives
    -0.59
     sprang
    -0.59
    /-
    -0.59
     reprinted
    -0.59
    POSITIVE LOGITS
     extent
    1.29
     fullest
    1.20
     same
    1.01
     detriment
    1.00
     highest
    0.99
     depths
    0.98
     lowest
    0.96
     nearest
    0.94
    rouse
    0.91
     widest
    0.90
    Activations Density 0.274%

    No Known Activations