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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. 24355
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    INDEX
    Explanations

    mistakes or errors in different contexts or scenarios

    oai_token-act-pair · gpt-3.5-turbo

    phrases that describe mistakes or erroneous assumptions

    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
    lease
    -0.75
    hest
    -0.64
    orem
    -0.64
    BAT
    -0.64
     PW
    -0.63
    irable
    -0.63
     Hyder
    -0.61
    ssh
    -0.61
    venge
    -0.60
     Pry
    -0.60
    POSITIVE LOGITS
     simplistic
    1.47
     underest
    1.38
     overlook
    1.33
     precon
    1.26
     overest
    1.26
     neglect
    1.23
     misunderstand
    1.23
     dismissive
    1.23
     gloss
    1.21
     overly
    1.21
    Activations Density 0.628%

    No Known Activations