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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. 14206
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    Explanations

    mentions indicating a journey or movement to a specific destination, along with obstacles or challenges that need to be overcome along the way

    oai_token-act-pair · gpt-3.5-turbo

    phrases relating to exploration and discovery in nature

    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
    PF
    -0.75
    419
    -0.74
     condol
    -0.74
     oxy
    -0.74
    AAA
    -0.72
    ãĥ¡
    -0.71
    isf
    -0.70
    WOR
    -0.70
    opot
    -0.69
    anyl
    -0.67
    POSITIVE LOGITS
     Caption
    0.77
     Khan
    0.76
    к
    0.75
     Seen
    0.74
     Janet
    0.73
     Hermione
    0.69
    ·
    0.69
    Dash
    0.67
     Samuel
    0.65
     ÃĹ
    0.65
    Activations Density 0.514%

    No Known Activations