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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. 11-RES-JB
    11. 24141
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    Explanations

    names of individuals or people

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    OURCE
    -0.69
    REAM
    -0.67
    Local
    -0.66
    GoldMagikarp
    -0.65
    FU
    -0.64
    translation
    -0.62
    VALUE
    -0.61
    atorial
    -0.61
    Elsewhere
    -0.61
    CONT
    -0.58
    POSITIVE LOGITS
    sson
    1.64
    kson
    1.37
    son
    1.25
    ovich
    1.24
    sen
    1.21
    owicz
    1.14
    enson
    1.02
    opoulos
    1.00
    SON
    0.99
     Howell
    0.99
    Activations Density 0.177%

    No Known Activations