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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. 8-RES-JB
    11. 9829
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    Explanations

    information related to additional details or elements

    oai_token-act-pair · gpt-3.5-turbo

    phrases that denote additional information or context

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    venge
    -0.83
     Inher
    -0.79
    bis
    -0.71
    iste
    -0.70
    ggles
    -0.65
    aah
    -0.64
     Founders
    -0.62
    wash
    -0.61
    AME
    -0.58
     Croat
    -0.57
    POSITIVE LOGITS
     thereto
    0.75
    ivity
    0.73
    ombat
    0.71
    igm
    0.71
    ibilities
    0.64
    ract
    0.64
    xon
    0.63
    olkien
    0.62
     Osw
    0.61
    itionally
    0.61
    Activations Density 0.020%

    No Known Activations