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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. 9-RES-JB
    6. 17682
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    oai_token-act-pair · gpt-3.5-turbo

    terms related to resource requests and communication structures

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    Britain
    -0.79
    DragonMagazine
    -0.78
    inburgh
    -0.76
    ActionCode
    -0.75
    etheless
    -0.74
    uador
    -0.74
    Scotland
    -0.74
    Ď
    -0.73
     RandomRedditor
    -0.73
    embedreportprint
    -0.73
    POSITIVE LOGITS
     endanger
    0.57
     spam
    0.56
     violation
    0.55
     contamin
    0.55
     diarrhea
    0.55
     distracting
    0.54
     contaminants
    0.53
     hazardous
    0.53
     tasting
    0.53
     filler
    0.53
    Activations Density 2.146%

    No Known Activations