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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. 3-RES-JB
    11. 11397
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    Explanations

    prepositions and phrasal verbs

    oai_token-act-pair · gpt-3.5-turbo

    mentions of currency and financial transactions

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.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.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    iott
    -0.67
     whis
    -0.59
    itol
    -0.57
     Unsure
    -0.57
    istor
    -0.56
    peat
    -0.56
    roud
    -0.55
    olis
    -0.54
    itives
    -0.54
    nox
    -0.53
    POSITIVE LOGITS
    使
    0.56
    ãĥīãĥ©
    0.55
    HK
    0.55
     surname
    0.53
    Zip
    0.51
    çĭ
    0.51
    ãĤ¨ãĥ«
    0.50
     newsp
    0.50
     guiActiveUnfocused
    0.49
     è£ıè
    0.49
    Activations Density 1.730%

    No Known Activations