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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. 4608
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    Explanations

    phrases related to the success or performance of sports teams

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

    phrases related to beginnings or starts of events

    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
    limits
    -0.84
    clud
    -0.74
    nings
    -0.71
    chens
    -0.71
    xual
    -0.70
    ividual
    -0.65
    luent
    -0.65
    nen
    -0.65
     Encyclopedia
    -0.63
    omm
    -0.63
    POSITIVE LOGITS
     rocky
    1.00
     groove
    0.91
     start
    0.84
     slump
    0.83
     funk
    0.80
     tails
    0.78
     roller
    0.75
     slow
    0.74
     rough
    0.74
     shaky
    0.73
    Activations Density 0.155%

    No Known Activations