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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. 3-RES-JB
    11. 23364
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    Explanations

    phrases related to an exact number of years or a specific numerical quantity

    oai_token-act-pair · gpt-3.5-turbo

    references to the number 30

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ramid
    -0.70
    par
    -0.66
    medi
    -0.64
     Collider
    -0.63
    hunt
    -0.62
     prelim
    -0.62
    Reviewer
    -0.62
    eus
    -0.61
    ãĥ¼ãĥ³
    -0.61
     judgement
    -0.61
    POSITIVE LOGITS
    %"
    1.17
    th
    1.13
    %
    1.10
     percent
    1.08
    %:
    1.04
    %-
    1.04
    %.
    1.03
    %,
    1.03
    %;
    0.94
    °
    0.85
    Activations Density 0.132%

    No Known Activations