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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. 2955
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    Explanations

    expressions related to emotional states, particularly negative emotions or conflict

    oai_token-act-pair · gpt-3.5-turbo
    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
    Not in Any Lists

    No Comments

    Negative Logits
    ··
    -0.58
    ãĥ´ãĤ¡
    -0.58
    catentry
    -0.57
    Ö
    -0.56
    Ö¼
    -0.56
    )).
    -0.55
    ?".
    -0.54
    Chain
    -0.53
    Attach
    -0.52
    ãĤ±
    -0.51
    POSITIVE LOGITS
     themselves
    0.92
    selves
    0.81
     their
    0.72
    joice
    0.72
     alike
    0.71
    their
    0.66
     Their
    0.65
     rejoice
    0.64
     THEIR
    0.63
    iliar
    0.61
    Activations Density 1.220%

    No Known Activations