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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 5873
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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 @ 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
     millenn
    -0.80
     carbohyd
    -0.77
    STD
    -0.76
    Þ
    -0.76
    ccording
    -0.75
     referen
    -0.74
     tremend
    -0.73
     cumbers
    -0.72
     teasp
    -0.70
    actionDate
    -0.69
    POSITIVE LOGITS
     Revis
    0.93
     Festival
    0.92
     Chronicles
    0.90
    phia
    0.87
     Gardens
    0.84
     Parish
    0.83
    aukee
    0.82
    hire
    0.82
     Manor
    0.82
     Unlimited
    0.82
    Activations Density 0.328%

    No Known Activations