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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. 8-RES-JB
    11. 11283
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    INDEX
    Explanations

    self-referential phrases showing personal opinions or beliefs

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal emotions or feelings

    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
     Camer
    -0.66
    umbn
    -0.62
     Extras
    -0.61
    angle
    -0.61
     Organization
    -0.61
     Organisation
    -0.60
    adish
    -0.60
    swick
    -0.59
    oys
    -0.59
    adapt
    -0.58
    POSITIVE LOGITS
     compelled
    1.13
     comfortable
    1.11
     uneasy
    1.05
     strongly
    1.00
     confident
    0.96
     obligated
    0.95
     passionately
    0.94
     uncomfortable
    0.93
     betrayed
    0.90
     sorry
    0.87
    Activations Density 0.039%

    No Known Activations