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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. 11-RES-JB
    6. 16907
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    INDEX
    Explanations

    phrases related to movement or physical conditions

    oai_token-act-pair · gpt-3.5-turbo

    references to the word "lim" and its variations or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     storm
    -0.60
     Wrath
    -0.60
     fasc
    -0.60
     fear
    -0.59
     havoc
    -0.59
     pleasure
    -0.59
    WR
    -0.58
     behold
    -0.57
     knots
    -0.57
     knowing
    -0.57
    POSITIVE LOGITS
    elight
    1.56
    erick
    1.37
    itations
    1.36
    estone
    1.27
    iter
    1.19
    ping
    1.12
    itation
    1.11
    bers
    1.10
    bered
    1.10
    estones
    1.08
    Activations Density 0.037%

    No Known Activations