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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. 7-RES-JB
    11. 13770
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    Explanations

    personal pronouns followed by verbs

    oai_token-act-pair · gpt-3.5-turbo

    the phrase "I" and sequences of text that signify the end of sections or thoughts

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 7-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.7.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.7.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    7
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
     excess
    -0.64
    rules
    -0.62
     Territory
    -0.61
     unfocusedRange
    -0.61
     Philipp
    -0.59
     height
    -0.58
     electromagnetic
    -0.58
     totality
    -0.58
     PTS
    -0.57
     srfAttach
    -0.57
    POSITIVE LOGITS
    'm
    1.32
    've
    1.20
    nex
    1.16
    EEE
    1.11
     suppose
    1.09
    WI
    1.04
    ANS
    0.98
    zzy
    0.96
    ANA
    0.95
    'll
    0.95
    Activations Density 0.183%

    No Known Activations