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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 5-RES-JB
    6. 10463
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    Explanations

    the word "Sad" with varying degrees of emphasis

    oai_token-act-pair · gpt-3.5-turbo

    references to or mentions of the word "Sad."

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 5-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.5.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.5.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    5
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    RAFT
    -0.74
    YP
    -0.70
    æ©Ł
    -0.69
    ambers
    -0.69
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.68
     Reloaded
    -0.67
     FANT
    -0.67
    ardless
    -0.65
    å§«
    -0.64
    ORGE
    -0.64
    POSITIVE LOGITS
     Pupp
    1.00
    omas
    0.90
    ness
    0.90
    hya
    0.86
    rament
    0.85
    emic
    0.85
    eway
    0.85
    ifiers
    0.83
    idy
    0.82
    eways
    0.82
    Activations Density 0.015%

    No Known Activations