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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. 3684
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    INDEX
    Explanations

    proper nouns and specific names, often related to interviews or discussions

    oai_token-act-pair · gpt-3.5-turbo

    possessive pronouns and references to ownership or personal experiences

    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
    wrap
    -0.81
    tails
    -0.80
    netflix
    -0.76
     Uriel
    -0.74
     Pwr
    -0.73
    note
    -0.73
    bender
    -0.73
    ahead
    -0.72
    ickers
    -0.72
    bolt
    -0.71
    POSITIVE LOGITS
     own
    1.39
     intentions
    1.27
     accomplishments
    1.23
     predicament
    1.23
     inability
    1.22
     involvement
    1.21
     plight
    1.20
     whereabouts
    1.19
     dealings
    1.16
     willingness
    1.14
    Activations Density 0.263%

    No Known Activations