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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
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    Explanations

    positive and negative emotional descriptions related to experiences

    oai_token-act-pair · gpt-3.5-turbo

    words that express various emotional states or reactions, particularly those related to positive or negative experiences

    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
    gres
    -0.73
    isd
    -0.70
    pei
    -0.68
    ignty
    -0.65
    nav
    -0.62
    orah
    -0.61
    planes
    -0.60
    ailability
    -0.60
    á
    -0.59
    ©¶æ
    -0.59
    POSITIVE LOGITS
    ly
    1.44
    ingly
    1.15
    LY
    1.08
     enough
    1.02
     reminders
    0.87
     nonetheless
    0.86
    tons
    0.73
    ively
    0.72
     ted
    0.72
    lly
    0.72
    Activations Density 0.117%

    No Known Activations