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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. 9-RES-JB
    11. 3318
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    Explanations

    timestamps in a specific format

    oai_token-act-pair · gpt-3.5-turbo

    timestamps in a specific format

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     extermin
    -0.57
    fman
    -0.57
    halla
    -0.55
     purs
    -0.55
    ospace
    -0.55
     arms
    -0.53
    ñ
    -0.52
     harness
    -0.52
     pill
    -0.52
    olis
    -0.52
    POSITIVE LOGITS
    59
    1.17
    06
    1.10
    07
    1.06
    56
    1.06
    54
    1.06
    58
    1.06
    03
    1.06
    00
    1.05
    51
    1.05
    09
    1.05
    Activations Density 0.028%

    No Known Activations