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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. 7-RES-JB
    11. 11386
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    Explanations

    words related to starting or beginning

    oai_token-act-pair · gpt-3.5-turbo

    references to "starters" in various contexts, particularly related to food or sports

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    orb
    -0.75
    orie
    -0.74
    eln
    -0.72
    fax
    -0.71
     Neurolog
    -0.67
    erry
    -0.66
    oral
    -0.65
    ournal
    -0.64
    Parents
    -0.63
    uras
    -0.62
    POSITIVE LOGITS
    tenance
    0.90
     starter
    0.86
    starter
    0.82
    FIELD
    0.70
    TAIN
    0.69
    holm
    0.68
    OPLE
    0.68
    starting
    0.66
    xual
    0.65
     Starter
    0.64
    Activations Density 0.044%

    No Known Activations