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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. 8-RES-JB
    6. 21274
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    Explanations

    references to different types of habits or behaviors, such as driving habits, eating patterns, and purchasing behavior

    oai_token-act-pair · gpt-3.5-turbo

    terms related to habits and behaviors

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    £ı
    -0.78
    IRC
    -0.77
    ignant
    -0.73
    Slot
    -0.69
    CAST
    -0.68
    lit
    -0.68
    vous
    -0.67
    Lens
    -0.66
    ãĥ©ãĥ³
    -0.64
    ropolis
    -0.64
    POSITIVE LOGITS
     continuum
    0.78
     quo
    0.77
    changes
    0.77
     mismatch
    0.76
     indicator
    0.73
     correlates
    0.73
     index
    0.71
     varies
    0.71
     Index
    0.70
    heres
    0.70
    Activations Density 0.309%

    No Known Activations