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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. 4-RES-JB
    11. 16428
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    Explanations

    verbs or nouns related to forceful actions, such as pushing or prodding

    oai_token-act-pair · gpt-3.5-turbo

    words related to nudity, burglary, and gouging

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

    No Comments

    Negative Logits
     Authority
    -0.72
    WAYS
    -0.71
    CV
    -0.66
     catch
    -0.66
     blades
    -0.65
    WARE
    -0.63
     imagination
    -0.63
     Stall
    -0.63
    è¦ļéĨĴ
    -0.62
    Magikarp
    -0.62
    POSITIVE LOGITS
    ging
    1.30
    ges
    1.09
    ged
    1.05
    gment
    1.05
    ues
    1.04
    ienced
    1.02
    icial
    0.97
    uing
    0.96
    gement
    0.95
    geoning
    0.95
    Activations Density 0.024%

    No Known Activations