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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 7-RES-JB
    6. 16464
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    INDEX
    Explanations

    mention or references to constituents or related terms

    oai_token-act-pair · gpt-3.5-turbo

    terms related to political constituents and representatives

    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
    sey
    -0.93
    imb
    -0.92
    istically
    -0.88
    lins
    -0.82
    obs
    -0.80
    hov
    -0.78
    wagen
    -0.78
    istic
    -0.77
    central
    -0.74
    stru
    -0.74
    POSITIVE LOGITS
    OPLE
    0.90
     Eag
    0.69
     constituents
    0.66
    PLIED
    0.65
    URRENT
    0.65
    ULTS
    0.64
    utations
    0.63
     ancest
    0.63
    ISTER
    0.60
    ptives
    0.60
    Activations Density 0.051%

    No Known Activations