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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. 7160
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    Explanations

    phrases related to spatial relations and directions

    oai_token-act-pair · gpt-3.5-turbo

    indicators of urgency or time-sensitive actions

    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
    ¶
    -0.52
     ut
    -0.48
     Yog
    -0.45
    pmwiki
    -0.43
     noun
    -0.43
    )'
    -0.42
     Malays
    -0.42
     brakes
    -0.41
     MO
    -0.40
     caveat
    -0.40
    POSITIVE LOGITS
    swick
    0.62
    nesday
    0.58
    ikers
    0.58
    orld
    0.57
     guiActiveUn
    0.54
    interstitial
    0.54
    idth
    0.54
    inton
    0.54
    cliffe
    0.53
    ividual
    0.53
    Activations Density 2.998%

    No Known Activations