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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. 19610
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    Explanations

    actions related to user interactions with technology or software

    oai_token-act-pair · gpt-3.5-turbo

    references to user actions and experiences

    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
     characterization
    -0.67
     distinguishing
    -0.65
    ãĤ¤ãĥĪ
    -0.65
     fostering
    -0.63
    ãĥ³ãĤ¸
    -0.63
     prevailing
    -0.63
     Estimates
    -0.63
     evident
    -0.63
     Definitions
    -0.62
     apartheid
    -0.62
    POSITIVE LOGITS
    're
    1.08
    've
    1.03
     enter
    0.94
     clicked
    0.94
     spend
    0.92
     guessed
    0.89
     logged
    0.89
     browse
    0.89
     login
    0.87
     wander
    0.86
    Activations Density 0.224%

    No Known Activations