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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. 2651
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    Explanations

    proper nouns related to specific locations, such as cities or buildings

    oai_token-act-pair · gpt-3.5-turbo

    references to specific geographical locations, particularly cities and notable events related to them

    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
    ownt
    -0.79
    istani
    -0.78
    agall
    -0.76
    icum
    -0.74
    atform
    -0.68
    ipper
    -0.68
    beard
    -0.67
    aq
    -0.67
    breaking
    -0.66
    unes
    -0.66
    POSITIVE LOGITS
    chwitz
    0.86
    xual
    0.83
     Cain
    0.74
     Pact
    0.73
     Circus
    0.71
    Upload
    0.71
    ville
    0.71
    ques
    0.69
    CHR
    0.69
     Giuliani
    0.68
    Activations Density 0.063%

    No Known Activations