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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. 7-RES-JB
    11. 14696
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    INDEX
    Explanations

    words related to movement and direction, specifically focusing on directionality and orientation

    oai_token-act-pair · gpt-3.5-turbo

    compound words or phrases related to back-and-forth actions

    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
    merce
    -0.92
    lectic
    -0.68
    Specific
    -0.68
    PF
    -0.68
    omal
    -0.65
    âĦ¢:
    -0.64
    idential
    -0.63
    Plot
    -0.63
    inery
    -0.63
    izo
    -0.62
    POSITIVE LOGITS
     forth
    0.82
    forth
    0.71
     Tide
    0.71
    arching
    0.69
     whence
    0.68
     Forth
    0.66
     pist
    0.66
    puff
    0.64
    steen
    0.63
    runs
    0.62
    Activations Density 0.124%

    No Known Activations