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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. 4-RES-JB
    11. 2958
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    Explanations

    phrases related to specific names or compounds

    oai_token-act-pair · gpt-3.5-turbo

    names of individuals associated with healthcare-related topics

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

    No Comments

    Negative Logits
    ormal
    -0.73
    wagen
    -0.67
     apr
    -0.65
     rall
    -0.63
    ETA
    -0.63
     hrs
    -0.62
     lumber
    -0.61
     compr
    -0.59
     unfocusedRange
    -0.59
     chips
    -0.58
    POSITIVE LOGITS
    sonian
    1.11
    ydia
    0.97
    utenberg
    0.95
    achus
    0.93
    ocy
    0.92
    inson
    0.83
    ÃŁ
    0.81
    ukong
    0.77
    atic
    0.77
    ocide
    0.76
    Activations Density 0.026%

    No Known Activations