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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. 6-RES-JB
    11. 9806
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    Explanations

    dates and person names

    oai_token-act-pair · gpt-3.5-turbo

    references to notable people and events, particularly in relation to artistic achievements and recognitions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     WATCHED
    -0.67
     UNCLASSIFIED
    -0.66
    —"
    -0.61
     versa
    -0.61
     pse
    -0.60
    onite
    -0.59
    Versions
    -0.58
     [*
    -0.58
     ster
    -0.58
     blockers
    -0.58
    POSITIVE LOGITS
     âĢº
    0.65
     Transcript
    0.60
    reetings
    0.60
    ↵Âł
    0.60
     ....
    0.59
     Calculator
    0.59
     Transgender
    0.59
     Release
    0.58
     Selected
    0.58
     Plaintiff
    0.58
    Activations Density 1.168%

    No Known Activations