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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. 0-RES-JB
    11. 20472
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    Explanations

    phrases related to engaging in activities or actions

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "doing" and examine contexts related to activism and social inaction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    otide
    -0.64
    zens
    -0.63
    uth
    -0.62
    iens
    -0.59
     sleeper
    -0.59
     masses
    -0.59
    wich
    -0.59
    ount
    -0.58
    PLIED
    -0.57
    ]]
    -0.57
    POSITIVE LOGITS
     Doing
    2.63
    doing
    1.98
     activism
    1.82
     inaction
    1.60
    Done
    1.38
    done
    1.29
     Done
    1.14
     doing
    1.12
     Volunte
    1.12
    polit
    1.11
    Activations Density 0.016%

    No Known Activations