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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. 10-RES-JB
    11. 23401
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    INDEX
    Explanations

    a strong emphasis on qualities over quantities

    oai_token-act-pair · gpt-3.5-turbo

    concepts related to value judgments and societal structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    arnaev
    -0.64
    abase
    -0.62
    olor
    -0.60
    omin
    -0.59
     Kham
    -0.59
    leased
    -0.59
     Emirates
    -0.59
    ean
    -0.59
    lease
    -0.59
     Mistress
    -0.58
    POSITIVE LOGITS
    lessness
    1.20
    uality
    1.08
    ivism
    1.06
    fulness
    1.05
     versus
    1.04
    liness
    1.01
    ism
    0.95
    ality
    0.92
    politics
    0.90
     realism
    0.89
    Activations Density 0.413%

    No Known Activations