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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. 22869
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    INDEX
    Explanations

    phrases indicating arrival or presence

    oai_token-act-pair · gpt-3.5-turbo

    phrases that express purpose or intention

    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
     reliance
    -0.75
    +.
    -0.74
     resorted
    -0.72
    NM
    -0.70
    Wik
    -0.68
     equival
    -0.67
    automatic
    -0.66
    ollah
    -0.64
    +)
    -0.63
     associations
    -0.63
    POSITIVE LOGITS
     celebrate
    0.99
     remind
    0.97
     help
    0.97
     defend
    0.93
     stay
    0.93
     advise
    0.92
     uphold
    0.92
     assist
    0.89
     protect
    0.88
    othe
    0.88
    Activations Density 0.137%

    No Known Activations