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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. 10-RES-JB
    11. 6399
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    Explanations

    terms related to unique identifiers or specific names or concepts

    oai_token-act-pair · gpt-3.5-turbo

    specific nouns and terms related to cultural and social contexts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     intruder
    -0.65
     parasite
    -0.65
     logo
    -0.63
    andum
    -0.62
    eway
    -0.62
     impulse
    -0.61
     horizon
    -0.61
    ollower
    -0.61
     agenda
    -0.60
    ouf
    -0.58
    POSITIVE LOGITS
     circles
    1.37
     increments
    1.26
     mode
    1.21
     guise
    1.14
     territory
    1.13
     contexts
    1.10
    speak
    1.07
     limbo
    1.07
     terms
    1.00
     theaters
    0.99
    Activations Density 0.565%

    No Known Activations