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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
    11. 22508
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    Explanations

    words ending in 'king'

    oai_token-act-pair · gpt-3.5-turbo

    words related to actions of cooking and preparation

    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
     Malf
    -0.74
    è¯
    -0.66
     ric
    -0.65
    schild
    -0.62
    recomm
    -0.62
     malf
    -0.62
     miscar
    -0.62
     contrace
    -0.61
     helicop
    -0.61
    Wr
    -0.61
    POSITIVE LOGITS
    doms
    1.17
    king
    0.98
    dom
    0.91
    hammer
    0.91
    peak
    0.89
    ham
    0.88
    leys
    0.87
    apeake
    0.82
    patrick
    0.81
    lift
    0.81
    Activations Density 0.012%

    No Known Activations