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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. 6-RES-JB
    11. 15047
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    Explanations

    words related to finding inspiration, being inspired or drawing motivation

    oai_token-act-pair · gpt-3.5-turbo

    references to inspiration and sources of motivation

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 6-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.6.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.6.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    6
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    ington
    -0.75
    ells
    -0.71
    onew
    -0.68
    eln
    -0.68
    tein
    -0.66
    ophon
    -0.66
    lock
    -0.65
    secut
    -0.65
    rooms
    -0.65
    anyahu
    -0.64
    POSITIVE LOGITS
    iration
    1.06
     inspiration
    1.06
     muse
    0.92
     inspir
    0.84
    DragonMagazine
    0.82
     inspiring
    0.76
    apache
    0.75
    andise
    0.74
     Cosponsors
    0.73
    arial
    0.71
    Activations Density 0.041%

    No Known Activations