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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. 6-RES-JB
    11. 18869
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    statements indicating availability or existence of products or content

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     stare
    -0.64
    iating
    -0.62
     wills
    -0.61
    hoe
    -0.59
     wishes
    -0.59
     residue
    -0.58
     stake
    -0.57
     swarm
    -0.57
     interviews
    -0.57
     prolet
    -0.57
    POSITIVE LOGITS
    senal
    1.28
     hereby
    1.05
    rael
    0.97
     awarded
    0.81
    formerly
    0.81
     located
    0.80
     comprised
    0.79
    olate
    0.76
     congratulated
    0.75
     rated
    0.75
    Activations Density 0.436%

    No Known Activations