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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. 3264
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    Explanations

    phrases related to news events and factual information

    oai_token-act-pair · gpt-3.5-turbo

    incidents and statistics related to serious health or safety concerns

    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
     whilst
    -1.09
     Whilst
    -1.01
     realise
    -1.00
     recognise
    -0.93
     realised
    -0.91
     analyse
    -0.86
    :-
    -0.84
     organise
    -0.84
     analys
    -0.81
    Firstly
    -0.81
    POSITIVE LOGITS
     statewide
    0.77
     sidewalk
    0.66
    ometown
    0.64
     sidewalks
    0.63
     downtown
    0.63
     Whitman
    0.62
     Sioux
    0.62
    riger
    0.62
     Fresno
    0.61
     nonprofits
    0.60
    Activations Density 1.768%

    No Known Activations