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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. 3-RES-JB
    11. 13376
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    Explanations

    trigger words denoting a change or new development in a story or sequence

    oai_token-act-pair · gpt-3.5-turbo

    the word "Then" indicating a sequence of events or actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    idad
    -0.68
    heads
    -0.65
    posts
    -0.63
    chy
    -0.62
    Latin
    -0.61
    toe
    -0.61
    sic
    -0.61
    charging
    -0.61
    charg
    -0.60
    borgh
    -0.60
    POSITIVE LOGITS
     proceeded
    0.81
    vernment
    0.80
    etheless
    0.78
     conclud
    0.77
     secondly
    0.77
     Extras
    0.75
    veland
    0.73
     convol
    0.73
    Ļ½
    0.71
    annis
    0.70
    Activations Density 0.045%

    No Known Activations