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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. 10-RES-JB
    11. 5408
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    Explanations

    contrasting elements or issues in a list

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to challenges and issues in various societal domains

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ograph
    -0.78
    soon
    -0.75
    OLOG
    -0.73
    stros
    -0.70
    OOOO
    -0.70
    lah
    -0.69
    ãĤ¨ãĥ«
    -0.69
    obook
    -0.68
    к
    -0.68
    ãĥ¼ãĥ³
    -0.68
    POSITIVE LOGITS
     etc
    1.77
    etc
    1.17
     ect
    0.91
     and
    0.91
     adherence
    0.77
     proximity
    0.76
     reliance
    0.75
     et
    0.75
     preferential
    0.74
     interpersonal
    0.74
    Activations Density 0.221%

    No Known Activations