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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. 9-RES-JB
    11. 14405
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    Explanations

    phrases related to acceptance, persuasion, and influence

    oai_token-act-pair · gpt-3.5-turbo

    phrases related to persuasion or being influenced

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    irm
    -0.67
     majorities
    -0.64
    ially
    -0.63
    ucket
    -0.62
    osponsors
    -0.61
     dismantled
    -0.61
     disbanded
    -0.60
    oln
    -0.60
     quar
    -0.59
    clud
    -0.59
    POSITIVE LOGITS
     notions
    0.79
     Flavoring
    0.78
     idea
    0.76
     scent
    0.76
    Description
    0.75
     symbolism
    0.74
     seeing
    0.73
     notion
    0.70
     WHY
    0.69
     illusions
    0.67
    Activations Density 0.312%

    No Known Activations