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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. 6-RES-JB
    6. 13935
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    Explanations

    terms related to crime and legal matters

    oai_token-act-pair · gpt-3.5-turbo

    mentions of the word "rim" and its variations in different contexts

    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
     Dangerous
    -0.66
     Lisbon
    -0.65
     scratch
    -0.64
    CAR
    -0.63
    ETF
    -0.61
    Desk
    -0.61
    lihood
    -0.60
     Senegal
    -0.60
     quo
    -0.58
    houses
    -0.58
    POSITIVE LOGITS
    onial
    1.08
    inals
    0.98
    inally
    0.97
    inatory
    0.94
    rim
    0.93
    aldi
    0.93
    nant
    0.89
    mie
    0.88
    ming
    0.86
    acter
    0.85
    Activations Density 0.026%

    No Known Activations