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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. 223
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    INDEX
    Explanations

    phrases expressing frequency or common occurrence

    oai_token-act-pair · gpt-3.5-turbo

    frequent phrases indicating common occurrences or situations

    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
    plates
    -0.78
    utenberg
    -0.78
     Integrity
    -0.72
    abad
    -0.72
    jriwal
    -0.70
    vich
    -0.70
    ADE
    -0.67
     Achievement
    -0.67
    oops
    -0.67
     Showdown
    -0.66
    POSITIVE LOGITS
    entimes
    1.46
     overlooked
    1.17
     referred
    1.01
     misunderstood
    0.95
     abbrevi
    0.93
     forgotten
    0.92
     mistaken
    0.91
     cited
    0.91
     times
    0.91
    times
    0.88
    Activations Density 0.053%

    No Known Activations