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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. 9031
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    INDEX
    Explanations

    photography credits in text

    oai_token-act-pair · gpt-3.5-turbo

    the presence of credit attribution in various contexts

    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
    rooms
    -0.77
     pup
    -0.75
     Lans
    -0.74
    ²¾
    -0.70
     retard
    -0.69
     rall
    -0.65
    rency
    -0.64
    verend
    -0.64
    Ń·
    -0.63
    doors
    -0.63
    POSITIVE LOGITS
    Credit
    1.21
     Credit
    1.06
    credit
    0.90
     Credits
    0.88
     Cards
    0.86
     CARD
    0.85
     credit
    0.84
    CU
    0.81
    card
    0.79
     Card
    0.79
    Activations Density 0.007%

    No Known Activations