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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. 5012
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    Explanations

    self-referential language related to personal or shared experiences

    oai_token-act-pair · gpt-3.5-turbo

    expressions of personal experience and invitation to action

    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
    SPONSORED
    -0.88
    Newsletter
    -0.74
     Presumably
    -0.72
    tarian
    -0.69
    etsk
    -0.65
     retracted
    -0.65
     centrist
    -0.64
     economists
    -0.63
     discredited
    -0.62
     centr
    -0.61
    POSITIVE LOGITS
    )!
    1.03
     unforgettable
    0.89
     âĿ
    0.88
    !.
    0.84
     awaits
    0.82
    !".
    0.82
     enthusi
    0.80
    !!"
    0.79
     ;)
    0.77
    !
    0.76
    Activations Density 1.234%

    No Known Activations