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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. 6-RES-JB
    11. 251
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    Explanations

    names or terms related to sadness or unhappiness

    oai_token-act-pair · gpt-3.5-turbo

    references to sadness or sorrowful themes

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    •layer 6 - sadness

    No Comments

    Negative Logits
    RAFT
    -0.73
    æ©Ł
    -0.72
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.72
    BOOK
    -0.69
     Reloaded
    -0.69
    ORGE
    -0.68
    姫
    -0.67
    ONES
    -0.66
    YP
    -0.66
     Wonderland
    -0.66
    POSITIVE LOGITS
    omas
    0.93
     Pupp
    0.93
    der
    0.92
    emic
    0.91
    eway
    0.89
    rament
    0.82
    ifiers
    0.82
    iso
    0.82
    ness
    0.81
    hya
    0.81
    Activations Density 0.014%

    No Known Activations