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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. 7948
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    Explanations

    words related to wetness and dampness

    oai_token-act-pair · gpt-3.5-turbo

    references to wetness or moisture

    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
    allery
    -0.71
    vernment
    -0.70
    */(
    -0.67
    ERO
    -0.67
    verage
    -0.66
    osite
    -0.65
    ZA
    -0.65
    uador
    -0.64
    OSH
    -0.64
    cffffcc
    -0.64
    POSITIVE LOGITS
    ting
    1.26
    ter
    1.11
    ted
    1.06
    ness
    1.04
    ters
    0.99
    lock
    0.98
    bag
    0.92
     Wet
    0.88
    nes
    0.87
     wet
    0.83
    Activations Density 0.020%

    No Known Activations