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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. 4-RES-JB
    11. 3718
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    references to legislative actions or terms related to law and governance

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

    No Comments

    Negative Logits
    âķIJâķIJ
    -0.84
    hower
    -0.70
    hirt
    -0.65
    xual
    -0.64
    ÙIJ
    -0.64
     IMAGES
    -0.63
     intensity
    -0.63
     Waterloo
    -0.61
    hyde
    -0.61
    ï¸
    -0.61
    POSITIVE LOGITS
    itimate
    1.44
    isl
    1.19
    acies
    1.17
    acy
    1.04
    uin
    0.91
    inally
    0.89
    leg
    0.89
    ivers
    0.89
     Leg
    0.87
    Leg
    0.86
    Activations Density 0.008%

    No Known Activations