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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. 18579
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    INDEX
    Explanations

    phrases related to financial struggles and consequences

    oai_token-act-pair · gpt-3.5-turbo

    instances of significant numerical or statistical values

    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
    iple
    -0.63
    sect
    -0.61
    ¬¼
    -0.59
    UF
    -0.58
    enary
    -0.56
    ety
    -0.56
    orn
    -0.54
    sth
    -0.54
    ãĥ¥
    -0.53
    uber
    -0.52
    POSITIVE LOGITS
     however
    1.16
     though
    1.11
     albeit
    1.08
     although
    1.05
     meanwhile
    1.00
     whereas
    0.95
     namely
    0.87
     moreover
    0.87
     but
    0.85
     respectively
    0.84
    Activations Density 1.220%

    No Known Activations