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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. 15046
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    Explanations

    phrases related to actions or activities

    oai_token-act-pair · gpt-3.5-turbo

    forms of the verb "to be" and various personal pronouns, particularly in different contexts of discussion

    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
    edIn
    -0.69
    ipient
    -0.68
    âĦ¢:
    -0.68
     Coup
    -0.68
    ESE
    -0.67
     Recall
    -0.67
    icipated
    -0.67
    pedia
    -0.66
    îĢ
    -0.65
     Alas
    -0.65
    POSITIVE LOGITS
     gonna
    1.45
     definitely
    1.17
     basically
    1.08
     going
    1.07
     gotta
    1.05
     really
    0.98
     kind
    0.97
     always
    0.97
     certainly
    0.96
     supposed
    0.95
    Activations Density 0.502%

    No Known Activations