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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. 1-RES-JB
    11. 22726
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms related to specific types of baked goods and associated ingredients

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    assian
    -0.79
    umm
    -0.76
    successful
    -0.75
    ulative
    -0.74
    ratulations
    -0.74
    urities
    -0.72
    rush
    -0.69
    */(
    -0.68
    aneers
    -0.67
    rawn
    -0.67
    POSITIVE LOGITS
    iere
    1.22
    ttes
    0.82
    opsis
    0.77
     Tags
    0.76
    bone
    0.73
    Mania
    0.72
    hower
    0.71
    mania
    0.71
    cue
    0.70
    bians
    0.70
    Activations Density 0.008%

    No Known Activations