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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. 4-RES-JB
    11. 889
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    Explanations

    instances where the statement made is described as "wrong"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "wrong" in various contexts

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

    No Comments

    Negative Logits
    incinn
    -0.70
    hens
    -0.67
     Ri
    -0.67
    lished
    -0.65
    coni
    -0.62
    umen
    -0.60
    cit
    -0.58
     Fn
    -0.58
    apple
    -0.58
    ivities
    -0.57
    POSITIVE LOGITS
    fully
    0.96
    eous
    0.86
     guiActiveUn
    0.84
    sight
    0.78
    headed
    0.76
     unfocusedRange
    0.69
    ftime
    0.67
    behavior
    0.66
    spin
    0.66
    ed
    0.66
    Activations Density 0.019%

    No Known Activations