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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. 9873
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    INDEX
    Explanations

    proper names or abbreviations related to individuals

    oai_token-act-pair · gpt-3.5-turbo

    references to specific individuals or entities

    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
    */(
    -1.03
    é¾įå¥ij士
    -0.83
    spread
    -0.76
    theless
    -0.74
    worthiness
    -0.71
    bread
    -0.69
    icative
    -0.65
    tons
    -0.65
    dayName
    -0.64
    edly
    -0.64
    POSITIVE LOGITS
    plin
    1.22
    pper
    1.18
    hei
    1.12
    pling
    1.10
    ÃŁ
    1.06
    qq
    1.05
    agra
    1.01
    pton
    1.00
    fts
    0.98
    pping
    0.98
    Activations Density 0.046%

    No Known Activations