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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. 9-RES-JB
    11. 13894
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    Explanations

    numbers embedded in text strings

    oai_token-act-pair · gpt-3.5-turbo

    numerical values related to specifications or performance metrics

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    hran
    -0.82
    essen
    -0.75
    querque
    -0.75
    oulos
    -0.71
     arming
    -0.66
    krit
    -0.61
    essa
    -0.59
    aucuses
    -0.59
     reluct
    -0.59
     seiz
    -0.58
    POSITIVE LOGITS
     ILCS
    1.00
    mAh
    0.88
    bps
    0.85
     MHz
    0.84
    GMT
    0.80
    ths
    0.79
    MHz
    0.79
     GMT
    0.77
    åĨ
    0.72
    é¾įåĸļ士
    0.70
    Activations Density 0.075%

    No Known Activations