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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. 0-RES-JB
    11. 423
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    Explanations

    the word "vet" in different contexts

    oai_token-act-pair · gpt-3.5-turbo

    references to a specific individual or character

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 0-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.0.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.0.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    0
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     dun
    -0.67
     cancell
    -0.65
    ANC
    -0.63
     yell
    -0.61
     fellows
    -0.60
     Ampl
    -0.59
     harmful
    -0.59
     activ
    -0.59
     rainfall
    -0.59
     Ney
    -0.58
    POSITIVE LOGITS
    vet
    4.53
    vier
    1.40
    vard
    1.27
     Vet
    1.14
    gue
    1.12
    vy
    1.09
    vette
    1.08
    va
    1.06
    vr
    1.06
    zag
    1.05
    Activations Density 0.020%

    No Known Activations