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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 16815
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    Explanations

    occurrences of the word "dollar" with varying intensities

    oai_token-act-pair · gpt-3.5-turbo

    references to dollar amounts and financial transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ettings
    -0.77
    KEN
    -0.72
    RPG
    -0.71
     partName
    -0.70
     Cosponsors
    -0.69
    udic
    -0.69
    inen
    -0.65
     Asgard
    -0.65
     Exper
    -0.64
    ãĤ¤ãĥĪ
    -0.63
    POSITIVE LOGITS
     dollar
    0.99
    hyde
    0.91
    dollar
    0.85
     ($)
    0.82
    quart
    0.81
     dollars
    0.80
     Dollar
    0.78
     hegemony
    0.77
    ollar
    0.75
     peg
    0.75
    Activations Density 0.022%

    No Known Activations