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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. 4323
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    Explanations

    technical terms and system-specific words

    oai_token-act-pair · gpt-3.5-turbo

    specific names and terms related to academic institutions and events

    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
    20439
    -0.51
    ['
    -0.42
    meaning
    -0.42
    DonaldTrump
    -0.41
    Footnote
    -0.41
    glers
    -0.40
     explan
    -0.40
     aroused
    -0.40
    heit
    -0.40
     attribute
    -0.39
    POSITIVE LOGITS
     srf
    0.53
    ategor
    0.48
    ande
    0.45
    iltr
    0.45
    Shot
    0.44
    onet
    0.43
    etheless
    0.43
     dmg
    0.43
    NetMessage
    0.41
    cellaneous
    0.41
    Activations Density 1.989%

    No Known Activations