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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. 7-RES-JB
    11. 9458
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    Explanations

    first-person singular pronouns followed by verbs expressing perception or knowledge (such as 'see,' 'know,' 'tell')

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating personal awareness or capability

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    omas
    -0.84
    ðĿ
    -0.77
    ãĥ¼ãĥĨãĤ£
    -0.69
    ++++
    -0.65
     Ada
    -0.64
     ..............
    -0.64
     âĺħ
    -0.64
    lu
    -0.64
    oly
    -0.64
    ATURES
    -0.63
    POSITIVE LOGITS
    outheast
    0.74
    bender
    0.73
    ever
    0.68
     vantage
    0.68
     practicable
    0.67
     licens
    0.67
     comprehend
    0.67
     recollection
    0.66
     possible
    0.65
     stretch
    0.65
    Activations Density 0.093%

    No Known Activations