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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 6-RES-JB
    6. 22547
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    Explanations

    action verbs related to software functions

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs, particularly the word "can," in various contexts related to ability and options

    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
    rant
    -0.80
     TED
    -0.75
     Moz
    -0.72
    cule
    -0.71
     Closing
    -0.71
     Irving
    -0.70
     Rising
    -0.65
     Herman
    -0.65
    raining
    -0.64
     Lawrence
    -0.64
    POSITIVE LOGITS
    't
    1.19
     optionally
    1.14
     customize
    1.03
     manipulate
    0.96
    ister
    0.96
    adian
    0.94
    ISTER
    0.94
    NOT
    0.93
     utilize
    0.91
    isters
    0.91
    Activations Density 0.179%

    No Known Activations