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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. 8263
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    Explanations

    words related to emotions or feelings, especially those related to the heart

    oai_token-act-pair · gpt-3.5-turbo

    words related to emotional experiences and feelings, particularly those associated with the heart

    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
     Sigma
    -0.70
     Princ
    -0.66
     Zup
    -0.66
     Jagu
    -0.65
    dq
    -0.63
     Lavrov
    -0.60
     Mutant
    -0.60
     unauthorized
    -0.60
     newsp
    -0.60
     Mub
    -0.60
    POSITIVE LOGITS
    strings
    1.37
    warming
    1.36
    broken
    1.29
    burn
    1.17
    felt
    1.14
    beat
    1.14
    rend
    1.11
    break
    1.11
    ache
    1.06
    breaks
    1.04
    Activations Density 0.025%

    No Known Activations