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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. 2-RES-JB
    11. 18679
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    Explanations

    locations or places, especially related to a specific neighborhood or city

    oai_token-act-pair · gpt-3.5-turbo

    references to locations, specifically Harlem and Greenwich

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cies
    -0.83
    sis
    -0.79
    enger
    -0.78
    s
    -0.75
    chal
    -0.72
    osit
    -0.71
    atoon
    -0.69
    nesses
    -0.69
    sonian
    -0.67
    arity
    -0.64
    POSITIVE LOGITS
     Glob
    0.83
    Ear
    0.79
    ãĥ³ãĤ¸
    0.77
    efe
    0.75
    ãĥį
    0.74
     cac
    0.69
     Harlem
    0.68
    acca
    0.67
    enez
    0.65
    velength
    0.65
    Activations Density 0.023%

    No Known Activations