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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. 14204
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    INDEX
    Explanations

    mathematical and numerical expressions

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to negative values or decreases in various contexts

    oai_token-act-pair · gpt-4o-mini
    Triggered by @bot
    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
    Negative Logits
    £ı
    -0.80
    uggest
    -0.69
     Hes
    -0.66
     Doe
    -0.63
     succession
    -0.63
     refres
    -0.62
     Resp
    -0.62
     Forth
    -0.61
     Towers
    -0.59
     Coffin
    -0.58
    POSITIVE LOGITS
    _-
    1.05
    webkit
    0.99
    /-
    0.98
    rated
    0.97
    /+
    0.93
    cffffcc
    0.82
    Rated
    0.79
    cens
    0.75
    20
    0.74
    worldly
    0.74
    Activations Density 0.045%

    No Known Activations