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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. 6-RES-JB
    11. 2868
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    Explanations

    negative terms or insults directed towards individuals

    oai_token-act-pair · gpt-3.5-turbo

    derogatory labels or insults directed at individuals

    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
    foreseen
    -0.65
    eto
    -0.64
    ubuntu
    -0.62
    strip
    -0.61
    olar
    -0.61
    ispers
    -0.61
    iasm
    -0.61
    uce
    -0.59
     lured
    -0.59
     Remastered
    -0.59
    POSITIVE LOGITS
    SourceFile
    0.71
    Tes
    0.70
     "
    0.70
     necessity
    0.66
     bluff
    0.65
     '
    0.64
     Jem
    0.63
     nuisance
    0.61
    ="#
    0.61
    ãĢİ
    0.60
    Activations Density 0.129%

    No Known Activations