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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. 3-RES-JB
    11. 18270
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    Explanations

    mentions of "sized" items, often in juxtaposition to other objects or descriptors

    oai_token-act-pair · gpt-3.5-turbo

    references to "sized" categories, particularly those describing small to medium dimensions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ingham
    -0.81
    ario
    -0.76
    ideo
    -0.75
    rb
    -0.75
    ILLE
    -0.74
    lore
    -0.74
    onso
    -0.72
    endi
    -0.72
    SEA
    -0.71
    roma
    -0.71
    POSITIVE LOGITS
     sized
    0.93
     scale
    0.85
     intestine
    0.83
     mismatch
    0.82
     therap
    0.80
    hearted
    0.75
     stature
    0.75
     eleph
    0.73
     replica
    0.72
     millenn
    0.72
    Activations Density 0.011%

    No Known Activations