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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. 11-RES-JB
    11. 16376
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    Explanations

    words related to data analysis and investigation processes

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to analysis and evaluation of data or evidence

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 11-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.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.11.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    æ©
    -0.63
    Cooldown
    -0.62
     spotlight
    -0.58
    Politics
    -0.55
    enture
    -0.55
     Ezek
    -0.55
    politics
    -0.54
    sometimes
    -0.53
     politics
    -0.53
    anwhile
    -0.53
    POSITIVE LOGITS
     satisfactory
    1.40
     accurate
    1.11
     correct
    1.11
     sufficient
    1.06
     acceptable
    1.05
     adequate
    1.00
     correctly
    1.00
     accur
    0.98
     valid
    0.98
     correctness
    0.95
    Activations Density 0.468%

    No Known Activations