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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. 16624
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    Explanations

    fragments or fragmented pieces of text

    oai_token-act-pair · gpt-3.5-turbo

    terms related to fragmentation

    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
    Keefe
    -0.81
    Demand
    -0.75
    OPA
    -0.73
    rol
    -0.69
    ebus
    -0.67
    reon
    -0.66
    orney
    -0.65
    perature
    -0.65
    know
    -0.64
    ILLE
    -0.64
    POSITIVE LOGITS
     fragments
    1.22
     fragment
    1.05
    glass
    0.93
     Frag
    0.84
    lations
    0.83
     fragmented
    0.80
     shards
    0.78
    bite
    0.78
     ILCS
    0.77
    mentation
    0.76
    Activations Density 0.012%

    No Known Activations