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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. 6-RES-JB
    11. 7642
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    Explanations

    uncertainty or lack of clarity

    oai_token-act-pair · gpt-3.5-turbo

    instances of uncertainty or ambiguity throughout the text

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    INT
    -0.79
    vis
    -0.74
    ngth
    -0.74
    inse
    -0.70
    @#&
    -0.70
    die
    -0.69
    ocard
    -0.69
    visor
    -0.69
    atra
    -0.68
    clerosis
    -0.67
    POSITIVE LOGITS
     whether
    0.79
     how
    0.72
     chronological
    0.69
    ether
    0.68
    icably
    0.67
    comings
    0.67
    ly
    0.66
     conflicting
    0.66
     why
    0.65
     exactly
    0.65
    Activations Density 0.024%

    No Known Activations