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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. 19050
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    Explanations

    expressions referring to image credits

    oai_token-act-pair · gpt-3.5-turbo

    references to typos or misprints

    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
    Oracle
    -0.80
    soType
    -0.69
    atri
    -0.66
    nea
    -0.64
    ĪĴ
    -0.64
    oint
    -0.63
    band
    -0.63
    otin
    -0.63
    Ĭ±
    -0.63
    luck
    -0.63
    POSITIVE LOGITS
     IMAGES
    2.01
     PHOTO
    0.89
     Images
    0.88
     WATCHED
    0.83
     POLIT
    0.82
    URE
    0.82
    TY
    0.80
     WATCH
    0.77
     SPORTS
    0.75
     Pic
    0.74
    Activations Density 0.019%

    No Known Activations