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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. 7-RES-JB
    11. 11821
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    Explanations

    phrases related to enjoying or having a good time

    oai_token-act-pair · gpt-3.5-turbo

    phrases and expressions centered around enjoyment and positive experiences

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    soDeliveryDate
    -1.12
     Croat
    -0.69
     coordin
    -0.68
    ARE
    -0.65
    RFC
    -0.63
     eyebrow
    -0.63
    osponsors
    -0.62
    vernment
    -0.61
     Willis
    -0.61
     Lash
    -0.60
    POSITIVE LOGITS
     leisure
    0.92
     pleasures
    0.90
     fruits
    0.86
     enjoyment
    0.84
     solitude
    0.79
    noon
    0.78
     immensely
    0.75
     hospitality
    0.74
     scenery
    0.74
     indul
    0.73
    Activations Density 0.141%

    No Known Activations