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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. 5-RES-JB
    6. 11841
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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 @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ikuman
    -0.68
    itialized
    -0.68
    izoph
    -0.59
     tyr
    -0.58
    ãĥ¼ãĥĨ
    -0.58
     predec
    -0.58
    istically
    -0.57
    imir
    -0.57
     mosqu
    -0.57
    ãĥ¼ãĥĨãĤ£
    -0.56
    POSITIVE LOGITS
     Additionally
    1.05
     Similarly
    1.00
     Moreover
    1.00
     Furthermore
    0.98
     Likewise
    0.97
     Such
    0.96
     Needless
    0.94
     Meanwhile
    0.94
     Conversely
    0.93
     Ultimately
    0.90
    Activations Density 1.066%

    No Known Activations