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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. 1641
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    INDEX
    Explanations

    years indicated in a historical context

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the decade "1970s"

    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
    edIn
    -0.89
     clipboard
    -0.74
     snipp
    -0.67
    ¶æ
    -0.67
    Dialogue
    -0.66
    ournals
    -0.66
    inventoryQuantity
    -0.64
    Planet
    -0.63
    acts
    -0.62
    FIN
    -0.61
    POSITIVE LOGITS
     onwards
    1.08
     onward
    1.08
    ixties
    0.90
     era
    0.83
     Era
    0.83
    -'
    0.75
     nostalg
    0.71
    ridge
    0.69
    olutions
    0.66
     Patton
    0.66
    Activations Density 0.041%

    No Known Activations