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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. 4-RES-JB
    11. 24172
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    Explanations

    phrases indicating a preference or recommendation for one option over another

    oai_token-act-pair · gpt-3.5-turbo

    instances of suggestions for alternatives or substitutes

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

    No Comments

    Negative Logits
    andestine
    -0.68
    anon
    -0.66
    cision
    -0.66
    vez
    -0.64
    ENE
    -0.64
    EA
    -0.63
    lees
    -0.62
    rament
    -0.62
    LAN
    -0.61
    erto
    -0.61
    POSITIVE LOGITS
     opting
    0.85
     preferring
    0.79
    instead
    0.78
     opt
    0.71
    ibrary
    0.70
    replace
    0.70
     chose
    0.70
     instead
    0.68
     relying
    0.67
     choosing
    0.65
    Activations Density 0.025%

    No Known Activations