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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. 10-RES-JB
    11. 7028
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    oai_token-act-pair · gpt-3.5-turbo

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    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ±
    -0.76
    Ń·
    -0.74
    İĭ
    -0.74
     occas
    -0.70
    bed
    -0.69
    lance
    -0.67
    ties
    -0.66
    nesday
    -0.66
     acknow
    -0.65
    ality
    -0.64
    POSITIVE LOGITS
    LOG
    0.87
    ||||
    0.83
     =>
    0.80
    },{"
    0.77
    âĨ
    0.75
    +)
    0.75
     [/
    0.74
     Explan
    0.73
    },"
    0.72
    EMOTE
    0.70
    Activations Density 0.050%

    No Known Activations