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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. 9-RES-JB
    11. 4290
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    Explanations

    phrases related to going out into different locations

    oai_token-act-pair · gpt-3.5-turbo
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    cens
    -0.81
    iasco
    -0.74
    interstitial
    -0.71
     Kund
    -0.64
    oqu
    -0.62
     Returning
    -0.61
    uman
    -0.59
    untarily
    -0.59
    downs
    -0.59
    erity
    -0.58
    POSITIVE LOGITS
     pasture
    1.06
     sea
    0.86
     countryside
    0.72
     loud
    0.67
     snipp
    0.67
    EMENT
    0.65
    tnc
    0.63
    Sea
    0.62
     creek
    0.62
     mole
    0.61
    Activations Density 0.129%

    No Known Activations