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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. 18209
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

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    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
     wre
    -0.74
     dinosaurs
    -0.70
    quished
    -0.68
     intensive
    -0.68
     terr
    -0.67
     dow
    -0.65
    irds
    -0.65
    ypes
    -0.65
     sonic
    -0.65
     lull
    -0.64
    POSITIVE LOGITS
    sic
    1.34
    emphasis
    1.26
    formerly
    1.23
    pictured
    1.21
    see
    1.18
    including
    1.11
    which
    1.11
    albeit
    1.10
    among
    1.09
    via
    1.09
    Activations Density 0.205%

    No Known Activations