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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. 9-RES-JB
    11. 3203
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    Explanations

    specific locations or events mentioned in a formal context

    oai_token-act-pair · gpt-3.5-turbo

    references to locations and specific events

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 9-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.9.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.9.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    9
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    trak
    -0.73
    capt
    -0.65
    ngth
    -0.65
    getic
    -0.61
    aez
    -0.61
    ATURES
    -0.60
    angu
    -0.59
     hugs
    -0.58
     jokes
    -0.57
    Features
    -0.57
    POSITIVE LOGITS
     guiActiveUnfocused
    0.77
    etheless
    0.74
     defunct
    0.65
     detriment
    0.59
    rium
    0.58
     Druid
    0.57
     entirety
    0.56
     inception
    0.55
     nutshell
    0.53
     Allaah
    0.53
    Activations Density 0.919%

    No Known Activations