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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. 7263
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    Explanations

    text related to tents

    oai_token-act-pair · gpt-3.5-turbo

    mentions of tents or related concepts

    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
    ÃĽ
    -0.69
     symmetry
    -0.68
     congr
    -0.65
     fats
    -0.64
    íķ
    -0.64
    EVA
    -0.62
    bye
    -0.61
    metics
    -0.60
     beet
    -0.59
    Second
    -0.58
    POSITIVE LOGITS
    atively
    1.32
    acle
    1.28
    pole
    1.26
    acles
    1.00
     encamp
    0.97
     tent
    0.94
    acular
    0.93
     pole
    0.89
     poles
    0.88
     flap
    0.86
    Activations Density 0.020%

    No Known Activations