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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. 1021
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    Explanations

    references to contractual agreements, particularly with a sports club

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific sports club

    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
    Accessory
    -0.73
     PLA
    -0.72
    PROV
    -0.69
    haar
    -0.69
     viol
    -0.65
    PUT
    -0.65
     Tant
    -0.64
     Diff
    -0.63
    å¦
    -0.63
    KO
    -0.63
    POSITIVE LOGITS
    bers
    1.07
     crest
    1.00
    bing
    0.92
    bish
    0.88
    houses
    0.81
     acad
    0.81
    bable
    0.79
     Rugby
    0.79
     footballer
    0.78
     captain
    0.76
    Activations Density 0.021%

    No Known Activations