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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. 5323
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    Explanations

    words related to various types of transformations and movements of materials

    oai_token-act-pair · gpt-3.5-turbo

    verbs related to the movement or processing of materials

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    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
    profits
    -0.65
    leader
    -0.65
     Warrant
    -0.61
    ancies
    -0.60
    bia
    -0.59
    orum
    -0.58
    nom
    -0.58
     motto
    -0.55
     truce
    -0.55
    TPS
    -0.54
    POSITIVE LOGITS
     by
    0.89
     onto
    0.89
     externally
    0.82
     into
    0.81
     safely
    0.81
     ashore
    0.80
     through
    0.79
     statically
    0.79
     alive
    0.78
     electronically
    0.77
    Activations Density 0.261%

    No Known Activations