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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. 15669
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    Explanations

    instances of the letters "am" followed by a number (e.g. am9, am10)

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the verb "am."

    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
    DragonMagazine
    -0.75
     externalToEVAOnly
    -0.70
     learners
    -0.67
    Tang
    -0.65
     Crus
    -0.64
     Transcript
    -0.64
     Sans
    -0.64
     Regions
    -0.64
     Scenes
    -0.63
     Alley
    -0.63
    POSITIVE LOGITS
    sterdam
    1.25
    ethyst
    1.20
    azon
    1.07
    endment
    1.05
    ajor
    1.03
    ulet
    1.01
    assing
    0.93
    roth
    0.91
    ateurs
    0.91
    icus
    0.91
    Activations Density 0.024%

    No Known Activations