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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. 15655
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    Explanations

    financial and educational institutions

    oai_token-act-pair · gpt-3.5-turbo

    the character or symbol 'âĢĵ' occurring multiple times

    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
     ''
    -1.12
     ...
    -0.98
     ......
    -0.92
     ....
    -0.90
     ``
    -0.87
     ----------------------------------------------------------------
    -0.79
     ..."
    -0.76
     _
    -0.72
     �
    -0.70
     "...
    -0.70
    POSITIVE LOGITS
    –
    3.57
    .–
    2.38
    ––
    2.24
    âĢIJ
    2.20
    —-
    1.95
    âĪĴ
    1.89
    âĢij
    1.85
    âĢķ
    1.82
    —
    1.80
     âĪ¼
    1.59
    Activations Density 0.027%

    No Known Activations