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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. 8-RES-JB
    11. 3969
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    Explanations

    phrases related to calls for action and intensity

    oai_token-act-pair · gpt-3.5-turbo

    expressions related to enthusiasm and excitement

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     seiz
    -0.69
    imilar
    -0.64
     Feder
    -0.63
    Interview
    -0.62
    obook
    -0.61
    çĶ°
    -0.61
    conservancy
    -0.59
    APS
    -0.58
    arc
    -0.57
    Executive
    -0.56
    POSITIVE LOGITS
    !!!!!
    0.88
    !!!!
    0.86
     âĢ¦
    0.82
    !!!
    0.82
    âĢ¦âĢ¦
    0.82
    !!
    0.81
    oooooooo
    0.81
     huh
    0.80
    !'
    0.79
     ..............
    0.79
    Activations Density 0.182%

    No Known Activations