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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. 3448
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    Explanations

    IDs or identification numbers

    oai_token-act-pair · gpt-3.5-turbo

    instances of the term "ID" followed by numerical identifiers

    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
    theless
    -0.85
    bilt
    -0.74
    =-=-
    -0.70
    cffff
    -0.69
    Ò
    -0.68
    ;;;;
    -0.67
    xual
    -0.65
    cffffcc
    -0.65
    orld
    -0.65
    perty
    -0.64
    POSITIVE LOGITS
    iots
    1.17
    aho
    0.99
    DEN
    0.99
    irect
    0.96
    entity
    0.96
    iop
    0.88
    ID
    0.87
    ocument
    0.86
    ictionary
    0.83
    ouble
    0.83
    Activations Density 0.009%

    No Known Activations