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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. 3-RES-JB
    11. 21075
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    INDEX
    Explanations

    references to academic and literary contexts, particularly related to the field of literature

    oai_token-act-pair · gpt-3.5-turbo

    references to literature

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    fty
    -0.70
     twitch
    -0.63
    gg
    -0.62
    Bel
    -0.62
    ermanent
    -0.61
    addafi
    -0.59
     damn
    -0.59
    earth
    -0.59
    por
    -0.58
    ebus
    -0.57
    POSITIVE LOGITS
     literature
    1.09
     Literature
    0.86
    DragonMagazine
    0.83
     writ
    0.81
     laureate
    0.81
     RELE
    0.79
     manuscripts
    0.76
    istry
    0.74
     literacy
    0.73
     novels
    0.72
    Activations Density 0.016%

    No Known Activations