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    1. Home
    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 9-RES-JB
    6. 20895
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    Explanations

    actions or events related to movement or change of location

    oai_token-act-pair · gpt-3.5-turbo

    actions or occurrences related to individuals and their experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    lords
    -0.70
    /-
    -0.68
    ahime
    -0.64
    ftime
    -0.62
     folks
    -0.61
    gravity
    -0.61
    Phase
    -0.61
    stem
    -0.60
     squared
    -0.60
    tan
    -0.59
    POSITIVE LOGITS
     peacefully
    0.92
     suicide
    0.86
     voluntarily
    0.85
     unsuccessfully
    0.83
     pleading
    0.83
     suicidal
    0.79
     defiant
    0.78
     angrily
    0.77
     asylum
    0.76
     plea
    0.75
    Activations Density 0.429%

    No Known Activations