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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
    11. 7804
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    Explanations

    words related to effectiveness or successful actions

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "effectively"

    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
    erer
    -0.79
    Ey
    -0.76
    andro
    -0.73
    yi
    -0.71
    erers
    -0.67
     Belt
    -0.64
    ger
    -0.63
     newsletters
    -0.63
     Geh
    -0.63
     Fever
    -0.61
    POSITIVE LOGITS
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    0.82
    odox
    0.75
    ãĤ¨
    0.74
    ãĥ£
    0.73
     exting
    0.72
     bankrupt
    0.71
    Ĥİ
    0.71
    Effective
    0.71
     guiActiveUn
    0.70
    ãĤ§
    0.70
    Activations Density 0.010%

    No Known Activations