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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
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    Explanations

    names and organizations related to legal and media contexts

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the name "Hogan" and the media company "Gawker"

    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
    ATIVE
    -0.71
    yrim
    -0.70
     incent
    -0.70
    rica
    -0.68
    ãĤ¿
    -0.68
    akable
    -0.66
    iterranean
    -0.66
    aeda
    -0.65
    ajor
    -0.64
    zyme
    -0.64
    POSITIVE LOGITS
     Hogan
    1.08
     Gawker
    0.83
    dump
    0.71
     Ic
    0.67
    ously
    0.67
    lings
    0.66
     Swim
    0.65
    Accessory
    0.65
    sworth
    0.64
    tor
    0.63
    Activations Density 0.051%

    No Known Activations