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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. 8-RES-JB
    11. 1913
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    Explanations

    phrases related to planning, prediction, and future projections

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating a negative assessment or critique

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     mig
    -0.68
     Seym
    -0.67
     helicop
    -0.66
     predec
    -0.65
     thous
    -0.65
    è¦
    -0.65
     seiz
    -0.63
    amac
    -0.63
     theirs
    -0.62
     nodd
    -0.62
    POSITIVE LOGITS
     Released
    0.67
    Ĥª
    0.65
    Merit
    0.65
    actionDate
    0.63
    recated
    0.60
     landfall
    0.58
     Psy
    0.58
    atible
    0.57
    utenberg
    0.57
    netflix
    0.56
    Activations Density 0.272%

    No Known Activations