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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. 4-RES-JB
    11. 18517
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    Explanations

    conditional statements and future tense verbs

    oai_token-act-pair · gpt-3.5-turbo

    modal verbs indicating potential or past actions

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

    No Comments

    Negative Logits
    thren
    -0.62
    ascript
    -0.60
     woes
    -0.59
    pherd
    -0.56
     modes
    -0.56
    andise
    -0.54
     Pistons
    -0.53
     troubles
    -0.52
     ERA
    -0.52
    aneers
    -0.52
    POSITIVE LOGITS
    ©¶æ
    0.73
    wolves
    0.64
     guiActiveUnfocused
    0.62
    auri
    0.61
    oup
    0.61
    ;;;;;;;;;;;;
    0.61
    rue
    0.61
    CHQ
    0.60
    tern
    0.58
    zech
    0.57
    Activations Density 0.548%

    No Known Activations