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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. 8-RES-JB
    11. 10780
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    Explanations

    descriptions of actions related to physical objects and places

    oai_token-act-pair · gpt-3.5-turbo

    references to specific objects or documents

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Brill
    -0.61
     Pok
    -0.58
     Hok
    -0.57
     piping
    -0.54
    ratulations
    -0.54
     horizont
    -0.53
     tremend
    -0.52
     brill
    -0.52
     Doodle
    -0.52
     Levi
    -0.51
    POSITIVE LOGITS
    Reviewer
    0.77
    waukee
    0.67
    lance
    0.66
    aquin
    0.66
     Logged
    0.65
    fuck
    0.65
    apest
    0.61
    Howard
    0.61
    Synopsis
    0.60
    inary
    0.60
    Activations Density 0.134%

    No Known Activations