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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. 3-RES-JB
    11. 13356
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    Explanations

    mentions of the word "Sham", possibly referring to a specific entity or concept

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "Sham" and its variations, indicating a focus on names and terms associated with a specific context or concept

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ĸļ
    -0.70
    lihood
    -0.70
     Extrem
    -0.66
     Gerry
    -0.66
    ĨĴ
    -0.66
     frequent
    -0.66
     newsletters
    -0.65
    PsyNetMessage
    -0.64
     Hawking
    -0.63
     OMG
    -0.62
    POSITIVE LOGITS
    eless
    1.26
    blers
    1.14
    rock
    1.12
    aji
    1.04
    Sham
    0.98
    arie
    0.94
    abal
    0.93
    lan
    0.91
    rod
    0.91
    ash
    0.90
    Activations Density 0.012%

    No Known Activations