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    2. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    3. GPT2-Small
    4. Residual Stream
    5. 0-RES-JB
    6. 10787
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    Explanations

    names or words ending in "lin"

    oai_token-act-pair · gpt-3.5-turbo

    the occurrences of the word "lin"

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Domain
    -0.71
     takedown
    -0.66
     domain
    -0.65
     handheld
    -0.65
     FISA
    -0.63
     seizures
    -0.63
     ETF
    -0.62
     AK
    -0.62
     custody
    -0.61
     impunity
    -0.60
    POSITIVE LOGITS
    lin
    4.49
    lins
    2.64
    LIN
    2.12
    liner
    1.55
    lan
    1.53
    len
    1.52
    lyn
    1.46
    ling
    1.43
    line
    1.37
    lon
    1.32
    Activations Density 0.023%

    No Known Activations