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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. 6-RES-JB
    6. 17950
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    Explanations

    mentions of the term "over," often related to hangovers or advantages

    oai_token-act-pair · gpt-3.5-turbo

    the word "over" in various contexts and forms, suggesting a focus on the concept of excess or repetition

    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
    uments
    -0.71
    ãĥ£
    -0.70
    ophile
    -0.69
    udes
    -0.68
    risome
    -0.68
    onna
    -0.67
    illary
    -0.66
    ¯¯¯¯
    -0.65
    ãĥ¼ãĥĨãĤ£
    -0.64
    ulet
    -0.63
    POSITIVE LOGITS
    ride
    0.96
    haul
    0.91
    lord
    0.90
    whelming
    0.89
    drive
    0.88
    leaf
    0.87
    lords
    0.86
    lay
    0.86
    stable
    0.85
    due
    0.80
    Activations Density 0.025%

    No Known Activations