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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
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    9. 6-RES-JB
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    Explanations

    mentions of the word "grain"

    oai_token-act-pair · gpt-3.5-turbo

    mentions of grain

    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
    uyomi
    -0.70
    joining
    -0.69
    undai
    -0.68
     prosec
    -0.63
    agame
    -0.62
    onyms
    -0.60
     Parenthood
    -0.60
     Aval
    -0.60
     newsp
    -0.59
     Alexandria
    -0.58
    POSITIVE LOGITS
     grains
    1.13
    grain
    1.01
     grain
    0.99
     Grain
    0.92
    aceutical
    0.83
    osate
    0.83
    iness
    0.76
    cake
    0.73
    kernel
    0.72
    umin
    0.72
    Activations Density 0.016%

    No Known Activations