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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. 3-RES-JB
    11. 18537
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    Explanations

    terms related to capturing or obtaining something

    oai_token-act-pair · gpt-3.5-turbo

    words associated with capturing or obtaining something

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     Princ
    -0.70
     Geo
    -0.62
     extent
    -0.61
     Fundamental
    -0.60
     prayed
    -0.59
     intensity
    -0.57
    """
    -0.56
     Templ
    -0.55
     entirety
    -0.55
     drill
    -0.54
    POSITIVE LOGITS
     nab
    1.22
    opa
    0.91
    tain
    0.90
    ila
    0.86
    bage
    0.86
     snag
    0.86
    illard
    0.82
    bing
    0.80
    ernaut
    0.80
    bed
    0.79
    Activations Density 0.010%

    No Known Activations