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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. 8932
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    Explanations

    short acronyms that stand out

    oai_token-act-pair · gpt-3.5-turbo

    occurrences of the abbreviation "AW" and associated context

    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
     psy
    -0.83
     Feld
    -0.74
     Townsend
    -0.74
    ozo
    -0.73
    ogue
    -0.72
     Jav
    -0.70
    ãĥ¼ãĥ
    -0.69
     Vie
    -0.69
    ãĥĥ
    -0.68
    ãĥ³ãĤ¸
    -0.66
    POSITIVE LOGITS
    ARDS
    1.26
    ARD
    1.13
    AY
    1.10
    ILA
    1.05
    OND
    1.04
    IRED
    1.03
    AW
    1.01
    OL
    0.99
    ALT
    0.94
    akening
    0.93
    Activations Density 0.009%

    No Known Activations