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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. 8-RES-JB
    11. 8598
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    Explanations

    verbs related to the action of "pouring"

    oai_token-act-pair · gpt-3.5-turbo

    instances of the word "pour" and its variations

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 8-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.8.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.8.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    8
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Nanto
    -0.65
    */(
    -0.62
     ãĤµãĥ¼ãĥĨãĤ£ãĥ¯ãĥ³
    -0.62
    nton
    -0.60
    culosis
    -0.60
    ifi
    -0.60
     Classification
    -0.59
    locked
    -0.58
    士
    -0.58
    ansas
    -0.58
    POSITIVE LOGITS
     encour
    1.33
     scorn
    0.91
     poured
    0.87
     boiling
    0.87
    pour
    0.80
     ashore
    0.77
     molten
    0.76
     pouring
    0.76
    igated
    0.76
     into
    0.75
    Activations Density 0.033%

    No Known Activations