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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

    words related to negative emotions or situations

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "sad" and its variations, signifying a focus on themes of sadness and emotional distress

    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
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -0.78
    eers
    -0.69
    æ©Ł
    -0.69
    YP
    -0.68
     FANT
    -0.68
    gat
    -0.63
    ambers
    -0.63
    FAULT
    -0.63
     Sheen
    -0.62
     Wonderland
    -0.62
    POSITIVE LOGITS
     Pupp
    0.98
    der
    0.97
    omas
    0.97
    hya
    0.91
    Sad
    0.87
    rid
    0.87
    ifiers
    0.86
    emic
    0.86
    idy
    0.86
    iso
    0.86
    Activations Density 0.009%

    No Known Activations