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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. 11-RES-JB
    11. 23118
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    INDEX
    Explanations

    differences and effects between various conditions or groups

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating the absence of differences or effects

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -0.83
    rand
    -0.77
    united
    -0.75
    atari
    -0.73
    loving
    -0.73
    incarn
    -0.72
    ahime
    -0.69
    esa
    -0.69
    elf
    -0.69
     Notting
    -0.69
    POSITIVE LOGITS
     detectable
    1.51
     noticeable
    1.39
     adverse
    1.29
     measurable
    1.27
     observable
    1.26
     significant
    1.21
     differences
    1.20
     difference
    1.20
     appreci
    1.19
     statistically
    1.17
    Activations Density 0.227%

    No Known Activations