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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. 4-RES-JB
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    Explanations

    expressions related to feeling sadness or disappointment

    oai_token-act-pair · gpt-3.5-turbo

    expressions of sadness and disappointment

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

    No Comments

    Negative Logits
    smoking
    -0.79
    iltration
    -0.74
    entials
    -0.69
    hibition
    -0.69
    ouver
    -0.65
    urat
    -0.65
    uana
    -0.64
    enture
    -0.63
    cigarettes
    -0.63
    indal
    -0.63
    POSITIVE LOGITS
    der
    0.85
    imaru
    0.85
     :(
    0.83
     mourn
    0.80
    bringer
    0.79
     saddened
    0.78
    Sad
    0.73
    DAQ
    0.72
    SPA
    0.69
    omas
    0.69
    Activations Density 0.020%

    No Known Activations