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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. 9-RES-JB
    11. 15700
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    Explanations

    phrases related to repeated occurrences or actions

    oai_token-act-pair · gpt-3.5-turbo

    phrases indicating repeated processes or actions over time

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Cosponsors
    -0.84
    quart
    -0.69
    Surv
    -0.68
     CLIENT
    -0.65
    igers
    -0.64
     Receiver
    -0.63
     Supports
    -0.63
    \\\\\\\\\\\\\\\\
    -0.63
     Prot
    -0.62
    Prot
    -0.60
    POSITIVE LOGITS
     space
    0.96
     resources
    0.93
     effort
    0.89
     patience
    0.79
     place
    0.79
     money
    0.76
    space
    0.76
     locality
    0.76
     inclination
    0.76
     energy
    0.75
    Activations Density 0.125%

    No Known Activations