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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. 3-RES-JB
    11. 4677
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    Explanations

    phrases related to waste and garbage

    oai_token-act-pair · gpt-3.5-turbo

    terms related to litter and waste

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    HAHAHAHA
    -0.67
    ccording
    -0.66
    ACP
    -0.65
     Azerb
    -0.65
    iggurat
    -0.64
    iscopal
    -0.63
    orth
    -0.63
    houn
    -0.62
    perties
    -0.62
    ITH
    -0.62
    POSITIVE LOGITS
     litter
    1.15
    mates
    0.94
    gate
    0.85
    wich
    0.84
    bugs
    0.83
    alogy
    0.83
    alog
    0.80
    asso
    0.77
    box
    0.76
    alis
    0.76
    Activations Density 0.005%

    No Known Activations