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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. 8-RES-JB
    6. 21512
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    INDEX
    Explanations

    words or phrases related to evaluating the impact of actions or situations

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing benefits or positives for various subjects or contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    aque
    -0.77
    rette
    -0.68
    ohn
    -0.67
    aram
    -0.67
    venants
    -0.67
    cles
    -0.67
     laun
    -0.66
    rose
    -0.65
    clone
    -0.65
    operated
    -0.65
    POSITIVE LOGITS
     morale
    0.93
     everybody
    0.86
    geries
    0.83
    gotten
    0.78
     laughs
    0.78
     us
    0.77
     storing
    0.76
     awhile
    0.76
     everyone
    0.76
     efficiency
    0.75
    Activations Density 0.097%

    No Known Activations