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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
    11. 11396
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    Explanations

    specific city blocks or locations

    oai_token-act-pair · gpt-3.5-turbo

    mentions of specific blocks in numerical addresses or locations

    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
    rouse
    -0.68
     reluct
    -0.65
     Dign
    -0.64
     Bie
    -0.61
    ivil
    -0.61
    bernatorial
    -0.60
     Trojan
    -0.60
    anson
    -0.60
    llers
    -0.59
     Lies
    -0.58
    POSITIVE LOGITS
    block
    1.09
    busters
    1.05
     block
    1.04
    buster
    1.00
    blocks
    1.00
    quote
    0.95
     blocks
    0.94
    chains
    0.94
    yards
    0.83
    ahime
    0.82
    Activations Density 0.011%

    No Known Activations