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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. 6530
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    Explanations

    phrases related to numerical values and relationships

    oai_token-act-pair · gpt-3.5-turbo

    terms related to classifications and categories, particularly those associated with structure and type

    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
     destro
    -0.75
     prom
    -0.72
     constellation
    -0.70
     disg
    -0.69
     tremend
    -0.69
    amac
    -0.69
    ayn
    -0.68
     regul
    -0.68
     cig
    -0.68
    istine
    -0.64
    POSITIVE LOGITS
     Decay
    1.13
     Aging
    0.94
     Emails
    0.85
     Profile
    0.83
     Quote
    0.82
    wise
    0.81
    Space
    0.80
    Ey
    0.80
    Track
    0.79
     Shots
    0.78
    Activations Density 0.260%

    No Known Activations