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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. 10-RES-JB
    11. 7256
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    Explanations

    mentions of academic institutions and associated years

    oai_token-act-pair · gpt-3.5-turbo

    items related to academic institutions and specific years

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 10-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.10.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.10.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    10
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     ''
    -1.30
     ``
    -1.28
     �
    -1.26
     ...
    -1.20
     ..."
    -1.17
     ....
    -1.12
     ......
    -1.01
     -
    -1.00
     "...
    -1.00
     ----------------------------------------------------------------
    -0.99
    POSITIVE LOGITS
    –
    2.80
    .–
    2.25
    —-
    1.92
    âĢIJ
    1.86
    ––
    1.85
     âĪ¼
    1.63
    —
    1.56
     ÂŃ
    1.53
    ——
    1.51
    ————————
    1.51
    Activations Density 0.075%

    No Known Activations