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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. 4-RES-JB
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    Explanations

    mentions of the word "Ars" in various contexts

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "ars" in different contexts

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

    No Comments

    Negative Logits
    âĸ¬
    -0.69
    sylv
    -0.66
    Thompson
    -0.66
    buquerque
    -0.63
     STATES
    -0.62
     joking
    -0.61
    states
    -0.59
     oxid
    -0.58
     Volunteer
    -0.58
    FAULT
    -0.57
    POSITIVE LOGITS
    hip
    1.28
    hips
    1.17
    mith
    1.06
    hod
    0.99
    ystem
    0.98
    omething
    0.97
    eness
    0.94
    ansas
    0.93
    itans
    0.93
    hed
    0.93
    Activations Density 0.011%

    No Known Activations