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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. 6-RES-JB
    11. 14986
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    Explanations

    references to artwork and weaponry

    oai_token-act-pair · gpt-3.5-turbo

    references to creative works, particularly artwork and weaponry

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    eln
    -0.84
    bern
    -0.74
    nered
    -0.73
    gas
    -0.71
    ital
    -0.70
    vill
    -0.70
    ney
    -0.69
    label
    -0.68
    light
    -0.67
    lier
    -0.67
    POSITIVE LOGITS
    SourceFile
    0.73
     Everywhere
    0.72
    shed
    0.71
     originating
    0.69
    channelAvailability
    0.66
    æ©Ł
    0.65
     shroud
    0.65
     bom
    0.64
    isSpecialOrderable
    0.62
    aukee
    0.62
    Activations Density 0.109%

    No Known Activations