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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. 6-RES-JB
    11. 233
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    INDEX
    Explanations

    phrases related to taking risks or being in risky situations

    oai_token-act-pair · gpt-3.5-turbo

    words related to danger or peril

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    essee
    -0.77
    eve
    -0.76
    ergy
    -0.76
    SW
    -0.75
    entity
    -0.74
    elf
    -0.74
    ore
    -0.73
    Nap
    -0.72
    aters
    -0.72
     WATCHED
    -0.72
    POSITIVE LOGITS
     jeopard
    0.96
     endanger
    0.86
     IPM
    0.75
    azard
    0.74
    plin
    0.73
     compromising
    0.72
    taking
    0.71
     risking
    0.71
    lessly
    0.71
     diver
    0.70
    Activations Density 0.024%

    No Known Activations