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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. 2-RES-JB
    11. 6744
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    Explanations

    words related to responsibility or consequences

    oai_token-act-pair · gpt-3.5-turbo

    words related to recklessness or irresponsible behavior

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     subsistence
    -0.70
    ļé
    -0.67
     infertility
    -0.66
     trainers
    -0.64
     bri
    -0.64
     Neph
    -0.64
     farmers
    -0.63
     agriculture
    -0.62
     pouch
    -0.61
     bear
    -0.60
    POSITIVE LOGITS
    reck
    1.08
    oning
    0.96
    witz
    0.95
    enburg
    0.94
    ledge
    0.83
    enstein
    0.83
    esi
    0.83
    hov
    0.82
    esy
    0.82
    essor
    0.82
    Activations Density 0.015%

    No Known Activations