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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. 11-RES-JB
    11. 3808
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    Explanations

    words related to corporate or business contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to "co" or "company" in various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    igators
    -0.74
    selves
    -0.64
    igator
    -0.62
     writ
    -0.59
     differe
    -0.57
    acious
    -0.56
    igation
    -0.56
    IONS
    -0.56
    igated
    -0.56
     Icelandic
    -0.55
    POSITIVE LOGITS
    ffee
    1.41
    xon
    1.37
    ff
    1.31
    eur
    1.10
    ffer
    1.05
    ffe
    1.05
    cephal
    1.04
    atl
    1.03
    igne
    1.00
    asters
    0.98
    Activations Density 0.042%

    No Known Activations