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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. 10-RES-JB
    11. 6046
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    Explanations

    proper names

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the word "name" along with variations of identity introduction

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    opian
    -0.75
    nuts
    -0.74
     guiActiveUnfocused
    -0.72
    erker
    -0.67
    psey
    -0.67
    etheless
    -0.66
    opia
    -0.65
    agos
    -0.64
     nuts
    -0.61
     MFT
    -0.61
    POSITIVE LOGITS
    plate
    1.38
    plates
    1.29
     tag
    0.93
    checked
    0.92
     tags
    0.88
     recognition
    0.88
     redacted
    0.84
    checks
    0.81
     spelled
    0.77
    Alias
    0.76
    Activations Density 0.036%

    No Known Activations