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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. 7-RES-JB
    11. 14475
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    Explanations

    words related to wetness

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    士
    -0.72
    */(
    -0.70
     tremend
    -0.67
    ########
    -0.67
     Crus
    -0.66
    ERO
    -0.65
    vernment
    -0.65
    ZA
    -0.64
    allery
    -0.64
    otine
    -0.63
    POSITIVE LOGITS
    ting
    1.31
    ter
    1.10
    ted
    1.08
    ness
    1.06
    ters
    0.99
    lock
    0.91
    lings
    0.91
    bag
    0.91
     Wet
    0.90
    tering
    0.88
    Activations Density 0.023%

    No Known Activations