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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. 13921
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    Explanations

    phrases indicating additional related information or examples

    oai_token-act-pair · gpt-3.5-turbo

    phrases expressing something being done well

    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
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    No Comments

    Negative Logits
    hip
    -0.81
    rush
    -0.81
    inity
    -0.69
    atto
    -0.67
    IENCE
    -0.65
    SHIP
    -0.65
    illary
    -0.63
     Samp
    -0.62
    hyde
    -0.61
    erick
    -0.61
    POSITIVE LOGITS
     suited
    0.80
     liked
    0.75
    enough
    0.70
    lied
    0.69
    espie
    0.68
    FTWARE
    0.68
    NESS
    0.67
    esley
    0.66
     enough
    0.65
    tenance
    0.65
    Activations Density 0.060%

    No Known Activations