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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. 10-RES-JB
    11. 16070
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    Explanations

    numbers with three digits

    oai_token-act-pair · gpt-3.5-turbo

    numerical identifiers or codes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    coat
    -0.79
    estine
    -0.73
    hood
    -0.66
    etheless
    -0.65
     scrut
    -0.62
     fundament
    -0.62
    eway
    -0.60
    anooga
    -0.59
    ways
    -0.59
    robe
    -0.58
    POSITIVE LOGITS
    KB
    0.91
     ILCS
    0.90
     SHARES
    0.85
    px
    0.82
    lbs
    0.81
     lbs
    0.79
    MHz
    0.78
     pounds
    0.75
     calories
    0.74
     MHz
    0.73
    Activations Density 0.104%

    No Known Activations