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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. 1119
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    oai_token-act-pair · gpt-3.5-turbo

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    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
    olkien
    -0.93
    BALL
    -0.81
    OPLE
    -0.76
     Lank
    -0.73
    OHN
    -0.68
    steen
    -0.66
     pity
    -0.66
    toe
    -0.66
    DonaldTrump
    -0.65
     shining
    -0.64
    POSITIVE LOGITS
    icator
    1.42
    icators
    1.29
    icable
    1.26
    icating
    1.15
    icative
    1.12
    namese
    1.07
    icates
    1.05
    icip
    1.03
    icate
    1.01
    ique
    1.01
    Activations Density 0.010%

    No Known Activations