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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. 2700
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    INDEX
    Explanations

    imperative statements

    oai_token-act-pair · gpt-3.5-turbo

    elements of humor and sarcasm

    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
     scrim
    -0.75
     destro
    -0.73
    everal
    -0.72
     corrid
    -0.71
     confir
    -0.65
    byn
    -0.64
    roots
    -0.62
     assemblies
    -0.60
     graded
    -0.59
     conduc
    -0.59
    POSITIVE LOGITS
    *:
    1.00
     here
    0.93
    :-
    0.90
     ;)
    0.90
    :(
    0.90
    .):
    0.90
    ):
    0.90
    Alright
    0.87
     haha
    0.87
     folks
    0.86
    Activations Density 0.306%

    No Known Activations