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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. 8-RES-JB
    11. 8090
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    Explanations

    phrases indicating a reason or cause for a particular action or situation

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating causation or conditions leading to certain outcomes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ires
    -0.85
    lime
    -0.83
    nin
    -0.82
    aire
    -0.81
    iac
    -0.81
    rek
    -0.79
    anooga
    -0.77
    lest
    -0.75
    okes
    -0.75
    Jun
    -0.74
    POSITIVE LOGITS
     sheer
    1.14
     lack
    1.13
     exhaustion
    0.99
     complications
    0.95
     unforeseen
    0.94
     inexper
    0.93
     inaction
    0.93
     budgetary
    0.90
     insufficient
    0.90
     rounding
    0.88
    Activations Density 0.083%

    No Known Activations