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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. 2229
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    Explanations

    words related to saving or preventing negative outcomes

    oai_token-act-pair · gpt-3.5-turbo

    words related to preservation or maintenance

    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
     fluor
    -0.65
    ship
    -0.61
     sche
    -0.61
     optionally
    -0.59
     autobi
    -0.59
     rumored
    -0.59
     displaced
    -0.58
    hips
    -0.57
     bid
    -0.57
     mirrored
    -0.57
    POSITIVE LOGITS
    ave
    1.16
    ornings
    0.84
    llan
    0.83
    aves
    0.82
    eta
    0.81
    ira
    0.80
    aways
    0.79
    veyard
    0.79
    tsky
    0.78
    llo
    0.78
    Activations Density 0.004%

    No Known Activations