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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. 1-RES-JB
    11. 21121
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    Explanations

    accidents or incidents mentioned in text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to accidents and collisions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 1-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.1.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.1.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    1
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ebus
    -0.91
    reens
    -0.74
    bler
    -0.69
    FLAG
    -0.66
    efer
    -0.65
    hunt
    -0.64
    tsky
    -0.64
    tre
    -0.64
    ership
    -0.64
    PT
    -0.63
    POSITIVE LOGITS
     accidents
    1.33
    afety
    1.00
     accident
    0.79
    ettings
    0.77
    odic
    0.76
    hooting
    0.75
     accidental
    0.75
    MpServer
    0.74
    manship
    0.74
    adoes
    0.74
    Activations Density 0.011%

    No Known Activations