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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. 3-RES-JB
    6. 10393
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    INDEX
    Explanations

    phrases related to exclamations or proclamations

    oai_token-act-pair · gpt-3.5-turbo

    references to proclamations and notable individuals, particularly linked to significant events or media

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    atown
    -0.75
    izont
    -0.70
    seys
    -0.67
    hematic
    -0.67
     NEC
    -0.66
    endez
    -0.64
    UCT
    -0.63
    inen
    -0.62
    ihar
    -0.61
     Burk
    -0.60
    POSITIVE LOGITS
    clamation
    1.06
    naire
    0.92
    ciating
    0.79
    issance
    0.76
    pell
    0.76
    ember
    0.75
    claimed
    0.75
    claim
    0.73
     Corps
    0.71
     proclamation
    0.69
    Activations Density 0.018%

    No Known Activations