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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. 1-RES-JB
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    Explanations

    median values or measurements

    oai_token-act-pair · gpt-3.5-turbo

    references to median values across various contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Revolution
    -0.77
    ̶
    -0.73
    reb
    -0.71
     Incarn
    -0.69
    YN
    -0.68
    etic
    -0.68
    IGHTS
    -0.67
    obby
    -0.66
    ripp
    -0.64
    alog
    -0.63
    POSITIVE LOGITS
     median
    1.14
     Median
    0.84
    ĺħ
    0.76
    enhagen
    0.71
     dwellings
    0.67
    ocamp
    0.66
    edia
    0.66
    itures
    0.64
     freeway
    0.64
     crossings
    0.64
    Activations Density 0.004%

    No Known Activations