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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. 7249
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    Explanations

    phrases with the structure "get [pronoun] me [number]" which could indicate varying levels of impact or significance

    oai_token-act-pair · gpt-3.5-turbo

    phrases that indicate perception or expression of opinion

    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
     wiser
    -0.74
     sooner
    -0.68
     thereafter
    -0.66
     resumed
    -0.59
     underestimated
    -0.58
     honorable
    -0.58
     deserved
    -0.58
     afterwards
    -0.57
     prosper
    -0.57
     anyways
    -0.56
    POSITIVE LOGITS
    Ó
    0.74
     teasp
    0.69
    ãĤ¼ãĤ¦ãĤ¹
    0.69
    ogly
    0.65
    og
    0.64
    esame
    0.63
    igg
    0.63
    ãĤ«
    0.63
    ãģį
    0.62
    å¦
    0.62
    Activations Density 0.566%

    No Known Activations