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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. 7-RES-JB
    11. 3835
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    Explanations

    words related to strong emotional experiences

    oai_token-act-pair · gpt-3.5-turbo

    references to emotional states and experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •911

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    Negative Logits
    tower
    -0.73
    nered
    -0.70
    authorized
    -0.70
    essential
    -0.69
    ÄŁ
    -0.69
    lust
    -0.67
    ouver
    -0.66
    iago
    -0.64
    gger
    -0.63
     Ri
    -0.63
    POSITIVE LOGITS
    izing
    0.92
    orically
    0.89
     attachment
    0.88
     maturity
    0.88
    ising
    0.85
     feelings
    0.82
     outburst
    0.82
     distress
    0.82
     contag
    0.81
     turmoil
    0.81
    Activations Density 0.025%

    No Known Activations