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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. 9-RES-JB
    11. 19829
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    Explanations

    phrases related to making choices or decisions

    oai_token-act-pair · gpt-3.5-turbo

    words related to making choices or decisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    brance
    -0.92
    ptoms
    -0.71
    enium
    -0.69
    uum
    -0.67
    oing
    -0.67
    ¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯¯
    -0.66
    otor
    -0.65
    è¦ļéĨĴ
    -0.64
    ijk
    -0.64
    aura
    -0.64
    POSITIVE LOGITS
     wisely
    1.08
     chooses
    0.73
     chose
    0.73
     whichever
    0.73
     axes
    0.71
     chosen
    0.68
     Wise
    0.68
     opted
    0.66
    eters
    0.65
     sides
    0.65
    Activations Density 0.050%

    No Known Activations