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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. 5343
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    Explanations

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    oai_token-act-pair · gpt-3.5-turbo

    terms that indicate definitions or descriptions of concepts

    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
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    No Comments

    Negative Logits
    luence
    -0.70
    ells
    -0.64
    assi
    -0.60
     Sierra
    -0.59
     Clicker
    -0.56
    rush
    -0.56
     Mandatory
    -0.56
    wered
    -0.55
     bombard
    -0.55
    visor
    -0.55
    POSITIVE LOGITS
     by
    0.93
    urally
    0.89
     accordingly
    0.88
     differently
    0.81
     separately
    0.78
    ĸļ
    0.77
     as
    0.77
    igated
    0.76
     anew
    0.76
     principally
    0.76
    Activations Density 0.178%

    No Known Activations