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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. 3197
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    Explanations

    proper nouns or specific names mentioned in the texts

    oai_token-act-pair · gpt-3.5-turbo

    repetitive patterns or phrases related to locations and entities

    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
     dogged
    -0.67
     apologizing
    -0.63
     rescuing
    -0.61
     interviewing
    -0.61
     thanking
    -0.61
     obscurity
    -0.60
     spoiler
    -0.60
     cracking
    -0.60
     maximizing
    -0.60
     unveiling
    -0.59
    POSITIVE LOGITS
    POR
    0.68
    Both
    0.68
    @#&
    0.67
    both
    0.66
    =-=-
    0.65
    arus
    0.65
     thereof
    0.65
    ivan
    0.64
    eteen
    0.64
    åIJ
    0.64
    Activations Density 1.589%

    No Known Activations