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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. 7291
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps and formatted time indicators

    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
     gobl
    -0.63
    onite
    -0.63
     purs
    -0.62
     extermin
    -0.61
    olis
    -0.60
    ospace
    -0.60
     arms
    -0.59
    quished
    -0.58
     envelop
    -0.58
     pill
    -0.58
    POSITIVE LOGITS
    59
    1.13
    00
    1.10
    06
    1.07
    05
    1.07
    58
    1.06
    09
    1.06
    04
    1.06
    54
    1.05
    08
    1.04
    07
    1.04
    Activations Density 0.038%

    No Known Activations