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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. 6-RES-JB
    11. 24393
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    Explanations

    instances where "having fun" is mentioned

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to enjoyment and recreational activities, particularly the concept of having fun

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    must
    -0.77
    required
    -0.65
     directions
    -0.60
    umbs
    -0.60
    Hill
    -0.59
    Beg
    -0.59
     Newsp
    -0.57
     Briggs
    -0.57
    NC
    -0.57
    ioxide
    -0.57
    POSITIVE LOGITS
     WATCHED
    0.79
    urtles
    0.77
    hesda
    0.72
    gdala
    0.70
     :)
    0.70
     whilst
    0.70
    nesday
    0.69
     aboard
    0.69
     ðŁĻĤ
    0.68
     orgasm
    0.67
    Activations Density 0.083%

    No Known Activations