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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. 3244
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    Explanations

    words related to motivation and hotels

    oai_token-act-pair · gpt-3.5-turbo

    references to motivation or motivational themes

    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
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    No Comments

    Negative Logits
     WARN
    -0.75
    scl
    -0.74
    AMS
    -0.70
     Murdoch
    -0.69
    interstitial
    -0.69
    pta
    -0.67
    Interstitial
    -0.66
    ãģį
    -0.65
     Waters
    -0.64
    shire
    -0.63
    POSITIVE LOGITS
    ivated
    1.21
    ivation
    1.20
    Mot
    1.00
    ivating
    0.98
    oko
    0.92
    ificent
    0.91
    oto
    0.90
    oleon
    0.89
    ör
    0.87
    zsche
    0.83
    Activations Density 0.007%

    No Known Activations