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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. 9-RES-JB
    11. 14070
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    INDEX
    Explanations

    statements indicating the existence or quality of conditions and circumstances

    oai_token-act-pair · gpt-4o-miniTriggered by @bot

    adjectives followed by a noun that relate to negative attributes or criticism

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Awakens
    -0.84
     Notting
    -0.71
    tarian
    -0.68
    astically
    -0.64
     Reach
    -0.64
     RELEASE
    -0.63
     Suc
    -0.62
    poke
    -0.62
     Profit
    -0.61
    lex
    -0.61
    POSITIVE LOGITS
     indicative
    1.10
     evident
    1.06
     reminiscent
    1.05
     exacerbated
    1.04
     conducive
    1.03
     outwe
    1.02
     contrasted
    1.01
     reflected
    0.97
     worrisome
    0.93
     characteristic
    0.93
    Activations Density 0.356%

    No Known Activations