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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. 5103
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    Explanations

    words related to sweet substances

    oai_token-act-pair · gpt-3.5-turbo

    references to syrup, particularly different types and their production process

    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
    sets
    -0.72
    surv
    -0.71
    teen
    -0.70
    ver
    -0.69
    vel
    -0.69
    angers
    -0.67
    ARD
    -0.66
    oths
    -0.65
    eval
    -0.65
    pper
    -0.64
    POSITIVE LOGITS
     syrup
    0.92
     pudding
    0.80
     Sparkle
    0.78
    ĸļ
    0.73
     GOODMAN
    0.71
     +++
    0.70
    akeru
    0.70
     corpus
    0.69
     CTR
    0.68
    ample
    0.67
    Activations Density 0.027%

    No Known Activations