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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. 12-RES-JB
    11. 3877
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    Explanations

    calls to action with a sense of urgency

    oai_token-act-pair · gpt-3.5-turboTriggered by @bot

    prompts related to user registration or sign-up actions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 12-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.11.hook_resid_post
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.11.hook_resid_post
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    11
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     millenn
    -0.87
     mosqu
    -0.81
     corrid
    -0.69
     suspic
    -0.69
    ntil
    -0.67
     metic
    -0.66
     mathemat
    -0.65
     practition
    -0.65
     tiss
    -0.65
    aditional
    -0.64
    POSITIVE LOGITS
     ].
    0.61
    weak
    0.61
    emy
    0.59
     itch
    0.58
    alk
    0.58
    displayText
    0.57
    AKING
    0.57
    ifact
    0.56
    lander
    0.56
    chest
    0.55
    Activations Density 0.022%

    No Known Activations