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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. 5648
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    Explanations

    phrases related to social issues and calls to action

    oai_token-act-pair · gpt-3.5-turbo

    conjunctions and phrases that indicate collective concerns or issues

    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
    ahime
    -0.76
    mma
    -0.73
    76561
    -0.71
    rollers
    -0.70
    voc
    -0.69
    uta
    -0.67
    utm
    -0.67
    Times
    -0.66
    emi
    -0.66
    busters
    -0.66
    POSITIVE LOGITS
     furthermore
    1.42
     consequently
    1.38
     moreover
    1.33
     hence
    1.26
     therefore
    1.26
     thus
    1.24
     vice
    1.17
     indeed
    1.15
     secondly
    1.14
     thereby
    1.13
    Activations Density 0.261%

    No Known Activations