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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. 2-RES-JB
    11. 7187
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    Explanations

    words related to being named or being given a title

    oai_token-act-pair · gpt-3.5-turbo

    words related to naming or labeling

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 2-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.2.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.2.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    2
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     tremend
    -0.67
     deficit
    -0.64
     haste
    -0.64
     lock
    -0.63
     retreating
    -0.63
    agan
    -0.62
     pregn
    -0.59
     cling
    -0.59
     denial
    -0.58
     dividend
    -0.58
    POSITIVE LOGITS
    ame
    1.27
    amed
    1.20
    ames
    1.18
    aming
    1.09
    amia
    1.04
     Cosponsors
    0.99
    ication
    0.87
    icate
    0.86
    onde
    0.85
    ãĥ³ãĤ¸
    0.83
    Activations Density 0.007%

    No Known Activations