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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. 4-RES-JB
    11. 16387
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    Explanations

    phrases related to harmful substances or agents

    oai_token-act-pair · gpt-3.5-turbo

    terms related to toxic substances and their effects

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

    No Comments

    Negative Logits
    DEM
    -0.79
    ©¶æ
    -0.77
    neck
    -0.74
    orld
    -0.71
    ÅĤ
    -0.71
    apest
    -0.69
    pload
    -0.69
    irc
    -0.69
    kus
    -0.69
    borough
    -0.66
    POSITIVE LOGITS
     substances
    0.99
     additives
    0.94
    ogens
    0.88
     antioxidants
    0.87
     metabolites
    0.85
     oxid
    0.82
     residues
    0.81
    containing
    0.81
     containing
    0.80
     formulations
    0.80
    Activations Density 0.125%

    No Known Activations