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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. 7063
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    Explanations

    proper nouns related to events or appearances

    oai_token-act-pair · gpt-3.5-turbo

    topics related to speakers, discussions, or mentions of notable individuals

    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
    20439
    -0.63
    ensibly
    -0.62
    ignt
    -0.60
    olic
    -0.60
    ERO
    -0.59
    Untitled
    -0.58
    rather
    -0.57
    pipe
    -0.56
    rome
    -0.56
    à¼
    -0.56
    POSITIVE LOGITS
     include
    1.85
     Include
    1.34
     included
    1.22
    :-
    1.21
    include
    1.11
     includes
    1.10
    *:
    1.07
     Included
    1.07
     includ
    1.05
    :
    1.05
    Activations Density 0.653%

    No Known Activations