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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. 7-RES-JB
    11. 13747
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    INDEX
    Explanations

    phrases related to locations and individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to influential figures or leaders in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aza
    -0.67
     IPM
    -0.63
    ldom
    -0.63
    inventoryQuantity
    -0.59
     relates
    -0.59
    urion
    -0.58
    urat
    -0.57
    iquid
    -0.56
     asses
    -0.56
     reputation
    -0.56
    POSITIVE LOGITS
    sole
    0.74
     beside
    0.72
     backdrop
    0.71
     prow
    0.70
     foreground
    0.70
     forefront
    0.68
     loose
    0.67
     prev
    0.67
     operative
    0.66
     accomp
    0.65
    Activations Density 1.046%

    No Known Activations