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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. 4-RES-JB
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    Explanations

    references to the word "Sand" followed by a number

    oai_token-act-pair · gpt-3.5-turbo

    references to the name "Sand."

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

    No Comments

    Negative Logits
    urses
    -0.89
    uates
    -0.88
     conclud
    -0.80
     sidx
    -0.77
     sight
    -0.75
    UTERS
    -0.74
    mercial
    -0.74
    olate
    -0.72
    Reloaded
    -0.72
    berus
    -0.71
    POSITIVE LOGITS
    usky
    1.06
    wic
    0.96
    alph
    0.93
    paper
    0.91
    oval
    0.89
    hya
    0.87
    box
    0.85
    hill
    0.85
    rats
    0.83
    storms
    0.83
    Activations Density 0.007%

    No Known Activations