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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. 10-RES-JB
    11. 10127
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    INDEX
    Explanations

    directional terms such as north, east, west, and specific movements like migration

    oai_token-act-pair · gpt-3.5-turbo

    directional terms related to navigation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    roma
    -0.63
    teness
    -0.61
    Ranked
    -0.61
    catentry
    -0.61
    TED
    -0.60
     nutshell
    -0.60
    Thumbnail
    -0.59
    DN
    -0.58
    byter
    -0.58
    "},"
    -0.57
    POSITIVE LOGITS
    wards
    1.59
    ward
    1.44
     toward
    1.23
     towards
    1.19
     into
    1.09
     onto
    0.98
    WARD
    0.96
    into
    0.92
    bound
    0.89
     through
    0.86
    Activations Density 0.136%

    No Known Activations