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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. 16855
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    Explanations

    phrases related to reflections or mirrors

    oai_token-act-pair · gpt-3.5-turbo

    words related to horror themes and imagery

    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
    anooga
    -0.76
    ±
    -0.75
    EMP
    -0.66
    ternity
    -0.62
     stationary
    -0.61
    ether
    -0.60
     taxing
    -0.59
    bern
    -0.59
     customizable
    -0.59
    ENTS
    -0.58
    POSITIVE LOGITS
    ror
    1.47
    hin
    0.93
    ROR
    0.81
    ashtra
    0.81
    ibrary
    0.80
    adeon
    0.80
    osaurs
    0.73
    rors
    0.73
    aries
    0.72
     Threat
    0.71
    Activations Density 0.013%

    No Known Activations